inst/biblioshiny/ui.R
In massimoaria/bibliometrix: Comprehensive Science Mapping Analysis
source("libraries.R", local = TRUE)
source("helpContent.R", local = TRUE)
suppressMessages(libraries())
# UI components ----
## Title ----
mytitle <- tags$link(
tags$a(
href = "https://www.bibliometrix.org/", target = "_blank",
tags$img(src = "logo2.jpg", height = "40", width = "40")
),
strong("bibliometrix")
)
intro <- "https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html"
importData <- "https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html"
slides <- "https://bibliometrix.org/biblioshiny/assets/player/KeynoteDHTMLPlayer.html#0"
donation <- "https://www.bibliometrix.org/home/index.php/donation"
bibliometrixWeb <- "https://www.bibliometrix.org/"
k_synth <- "https://www.k-synth.unina.it"
github_aria <- "https://github.com/massimoaria/bibliometrix"
style_opt <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (option button)
style_bttn <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (action buttons)
t_report <- "Add Results to the Report"
t_export <- "Export Plot as PNG"
t_run <- "Run the Analysis"
run_bttn <- list(
label = NULL,
style = "material-circle",
color = "primary",
icon = icon(name = "play", lib = "glyphicon")
)
report_bttn <- list(
label = NULL,
style = "material-circle",
color = "primary",
icon = icon(name = "plus", lib = "glyphicon")
)
export_bttn <- list(
label = NULL,
style = "material-circle",
color = "primary",
icon = icon(name = "download", lib = "glyphicon")
)
## load content of Info page
biblioAI <- helpContent()$biblioAI
info <- helpContent()$info
pubs <- helpContent()$publications
## Header ----
header <- shinydashboardPlus::dashboardHeader(
title = mytitle,
titleWidth = 300,
# controlbarIcon = fa_i(name ="bars"),
dropdownMenuOutput("notificationMenu"),
dropdownMenu(
type = "messages",
icon = icon("question"),
badgeStatus = NULL,
headerText = strong("Help Menu"),
messageItem2(
from = "Package Tutorial",
message = "",
href = intro,
icon = icon("play-circle", lib = "glyphicon")
),
messageItem2(
from = "Convert and Import Data",
message = "",
icon = icon("info-sign", lib = "glyphicon"),
href = importData
),
messageItem2(
icon = icon("play", lib = "glyphicon"),
from = "biblioshiny Tutorial",
message = "",
href = slides
)
),
dropdownMenu(
type = "messages",
icon = icon("comment-dollar", lib = "font-awesome"),
badgeStatus = NULL,
headerText = strong("Donate"),
messageItem2(
from = "Donation",
message = "",
href = donation,
icon = icon("share-alt", lib = "glyphicon")
)
),
dropdownMenu(
type = "messages",
icon = fa_i(name = "cube"),
badgeStatus = NULL,
headerText = strong("Credits"),
messageItem2(
from = "Bibliometrix",
message = "",
href = bibliometrixWeb,
icon = fa_i(name = "globe")
),
messageItem2(
from = "K-Synth",
message = "",
href = k_synth,
icon = fa_i(name = "watchman-monitoring")
),
messageItem2(
from = "Github",
message = "",
href = github_aria,
icon = fa_i(name = "github")
)
),
tags$li(
class = "dropdown",
tags$style(".main-header .logo {height: 53px}")
)
)
## Side Bar ----
sidebar <- shinydashboardPlus::dashboardSidebar(
useShinyjs(),
sidebarMenu(
id = "sidebarmenu",
menuItem("biblioshiny", tabName = "biblioshinyy", icon = fa_i(name = "house-user")),
menuItem("Info",
tabName = "info", icon = fa_i(name = "circle-info"),
menuSubItem("Biblio AI", tabName = "biblioAI", icon = fa_i(name = "microchip")),
menuSubItem("Supported Files", tabName = "supFiles", icon = fa_i(name = "database")),
menuSubItem("Team's Publications", tabName = "pubs", icon = fa_i(name = "book"))
),
menuItem("Data",
tabName = "uploadData", icon = fa_i(name = "file-import"),
menuSubItem("Import or Load", tabName = "loadData", icon = icon("chevron-right", lib = "glyphicon")),
menuSubItem("API", tabName = "gathData", icon = icon("chevron-right", lib = "glyphicon")),
menuSubItem("Merge Collections", tabName = "mergeData", icon = icon("chevron-right", lib = "glyphicon"))
),
menuItemOutput("rest_of_sidebar"),
menuItem("Settings", tabName = "settings", icon = fa_i(name = "sliders"))
),
textOutput("res"),
width = 300
)
## Body ####
### Theme ----
data("customTheme", envir = environment())
### Body Content ----
body <- dashboardBody(
customTheme,
## workaround to solve visualization issues in Data Table
tags$head(tags$style(HTML(".has-feedback .form-control { padding-right: 0px;}"))),
###
tags$head(
tags$style(".fa-envelope {color:#FF0000; font-size: 20px}"),
tags$style(".fa-envelope-open {font-size: 20px}"),
tags$style(".fa-cube {font-size: 20px}"),
tags$style(".fa-question {font-size: 20px}"),
tags$style(".fa-comment-dollar {font-size: 20px}"),
tags$style(".fa-bars {font-size: 20px}"),
tags$style(".sidebar-toggle {font-size: 15px}"),
tags$script(
'var dimension = [0, 0];
$(document).on("shiny:connected", function(e) {
dimension[0] = window.innerWidth;
dimension[1] = window.innerHeight;
Shiny.onInputChange("dimension", dimension);
});
$(window).resize(function(e) {
dimension[0] = window.innerWidth;
dimension[1] = window.innerHeight;
Shiny.onInputChange("dimension", dimension);
});
$(document).ready(function(){
$("a[data-toggle=tab]").on("show.bs.tab", function(e){
Shiny.setInputValue("activeTab", $(this).attr("data-value"));
});
});
'
)
),
tabItems(
#### Homepage ----
##### home ----
tabItem(
"biblioshinyy",
fluidPage(
fluidRow(
column(
12,
div(h1("biblioshiny: the shiny app for bibliometrix",
style = "text-align:center; font-size:50px;"
)),
br()
),
column(
12,
div(img(src = "logoAI.jpg", height = "35%", width = "35%"), style = "text-align: center;")
),
column(
12,
div(h3(em("Biblioshiny 5.0 now includes Biblio AI – a powerful AI assistant for your science mapping analyses.",
# em(a("bibliometrix website.",
# href = "https://www.bibliometrix.org", target = "_blank"
# )),
),style = "text-align:center; font-size:24px;"
)),
br(),
hr()
),
column(
12,
div(h6("biblioshiny and bibliometrix are open-source and freely available for use, distributed under the MIT license.",
style = "text-align:center; font-size:19px;"
)),
div(h6("When they are used in a publication, we ask that authors to cite the following reference:",
style = "text-align:center; font-size:19px;"
)),
div(h6("Aria, M., & Cuccurullo, C. (2017).", strong(" bibliometrix: An R-tool for comprehensive"),
style = "text-align:center; font-size:22px;"
)),
div(h6(strong("science mapping analysis."),
em("Journal of Informetrics"), ", 11(4), 959-975.",
style = "text-align:center; font-size:22px;"
)),
br(),
div(h6("Failure to properly cite the software is considered a violation of the license.",
style = "text-align:center; font-size:19px;"
)),
br(),
div(p("For an introduction and live examples, visit the ",
em(a("bibliometrix website.",
href = "https://www.bibliometrix.org", target = "_blank"
)),
style = "text-align:center; font-size:18px;"
)),
)
)
)
),
tabItem(
"biblioAI",
fluidPage(
fluidRow(
column(1),
column(
10,
HTML(biblioAI)
),
column(1)
)
)
),
tabItem(
"supFiles",
fluidPage(
fluidRow(
column(1),
column(
10,
HTML(info),
div(img(src = "table_DBformats.jpg", height = "70%", width = "70%"), style = "text-align: center;")
),
column(1)
)
)
),
tabItem(
"pubs",
fluidPage(
fluidRow(
column(1),
column(
10,
HTML(pubs)
),
column(1)
)
)
),
#### Data ----
##### load Data ----
tabItem(
"loadData",
fluidPage(
fluidRow(
div(
tags$head(tags$style(
HTML(
"table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
background-color: #9c4242 !important;
}
"
)
)),
tags$style(
HTML(
".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
color: #000000 !important;
}"
)
),
column(
9,
uiOutput("collection_descriptionUI"),
shinycssloaders::withSpinner(DT::DTOutput("contents"))
),
column(
3,
fluidRow(
box(
width = "100%",
h3(strong("Import or Load ")),
selectInput("load",
label = "Please, choose what to do",
choices = c(
" " = "null",
"Import raw file(s)" = "import",
"Load bibliometrix file(s)" = "load",
"Use a sample collection" = "demo"
),
selected = "null"
),
conditionalPanel(
condition = "input.load == 'demo'",
helpText(
h4(strong("The use of bibliometric approaches in business and management disciplines.")),
h5(strong("Dataset 'Management'")),
em(
"A collection of scientific articles about the use of bibliometric approaches",
"in business and management disciplines."
),
br(),
em("Period: 1985 - 2020
, Source WoS.")
)
),
conditionalPanel(
condition = "input.load == 'import'",
selectInput(
"dbsource",
label = "Database",
choices = c(
"Web of Science (WoS/WoK)" = "isi",
"Scopus" = "scopus",
"Dimensions" = "dimensions",
"Openalex" = "openalex",
"OpenAlex API (via openalexR)" = "openalex_api",
"Lens.org" = "lens",
"PubMed" = "pubmed",
"Cochrane Library" = "cochrane"
),
selected = "isi"
),
selectInput(
"authorName",
label = "Author Name format",
choices = c(
"Fullname (if available)" = "AF",
"Surname and Initials" = "AU"
),
selected = "AU"
)
),
conditionalPanel(
condition = "input.load != 'null' & input.load != 'demo'",
conditionalPanel(
condition = "input.load == 'load'",
helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix"))
),
fileInput(
"file1",
"Choose a file",
multiple = FALSE,
accept = c(
".csv",
".txt",
".ciw",
".bib",
".xlsx",
".zip",
".xls",
".rdata",
".rda",
".rds"
)
)
),
conditionalPanel(
condition = "input.load != 'null'",
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
actionBttn(
inputId = "applyLoad", label = strong("Start"),
width = "100%", style = "pill", color = "primary",
icon = icon(name = "play", lib = "glyphicon")
)
)
))
),
tags$hr(),
uiOutput("textLog2"),
tags$hr(),
h3(strong(
"Export collection"
)),
selectInput(
"save_file",
"Save as:",
choices = c(
" " = "null",
"Excel" = "xlsx",
"R Data Format" = "RData"
),
selected = "null"
),
conditionalPanel(
condition = "input.save_file != 'null'",
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "collection.save", label = strong("Export"),
# width = "100%",
style = "pill", color = "primary"
)
)
))
)
)
)
)
)
)
)
),
##### gather Data ----
tabItem(
"gathData",
fluidPage(
fluidRow(
tags$head(tags$style(
HTML(
"table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
background-color: #9c4242 !important;
}
"
)
)),
tags$style(
HTML(
".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
color: #000000 !important;
}"
)
),
column(9, shinycssloaders::withSpinner(DT::DTOutput("apiContents"))),
column(
3,
box(
width = "100%",
h3(strong(
"Gather data using APIs "
)),
br(),
selectInput(
"dbapi",
label = "Database",
choices = c(
"DS Dimensions" = "ds",
"PubMed" = "pubmed"
),
selected = "pubmed"
),
## Dimenions API
conditionalPanel(
condition = "input.dbapi == 'ds'",
br(),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
actionBttn(
inputId = "dsShow", label = "1. Configure API",
style = "pill", color = "primary",
icon = icon(name = "sliders")
)
)
)),
# h5(tags$b("Your Query")),
verbatimTextOutput("queryLog2", placeholder = FALSE),
h5(tags$b("Documents returned using your query")),
verbatimTextOutput("sampleLog2", placeholder = FALSE)
),
### Pubmed API
conditionalPanel(
condition = "input.dbapi == 'pubmed'",
br(),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
actionBttn(
inputId = "pmShow", label = "1. Configure API",
style = "pill", color = "primary",
icon = icon(name = "sliders")
)
)
)),
# h5(tags$b("Your Query")),
verbatimTextOutput("pmQueryLog2", placeholder = FALSE),
h5(tags$b("Documents returned using your query")),
verbatimTextOutput("pmSampleLog2", placeholder = FALSE),
),
tags$hr(),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
actionBttn(
inputId = "apiApply", label = "2. Download",
style = "pill", color = "primary",
icon(name = "download")
)
)
)),
tags$hr(),
h3(strong("Export a bibliometrix file ")),
br(),
selectInput(
"save_file_api",
"Save as:",
choices = c(
" " = "null",
"Excel" = "xlsx",
"R Data Format" = "RData"
),
selected = "null"
),
conditionalPanel(
condition = "input.save_file_api != 'null'",
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "collection.save_api", label = strong("Export"),
style = "pill", color = "primary"
)
)
))
)
)
)
)
)
),
##### merge Data ----
tabItem(
"mergeData",
fluidPage(
fluidRow(
div(
tags$head(tags$style(
HTML(
"table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
background-color: #9c4242 !important;
}
"
)
)),
tags$style(
HTML(
".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
color: #000000 !important;
}"
)
),
column(
9,
uiOutput("collection_description_mergeUI"),
shinycssloaders::withSpinner(DT::DTOutput("contentsMerge"))
),
column(
3,
fluidRow(
box(
width = "100%",
h3(strong("Load Collections")),
helpText(em("Merge collections in Excel or R format coming from different DBs")),
fileInput(
"fileMerge",
"Select collection files",
multiple = TRUE,
accept = c(
".xlsx",
".rdata"
)
)
),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
actionBttn(
inputId = "applyMerge", label = strong("Start"),
width = "100%", style = "pill", color = "primary",
icon = icon(name = "play", lib = "glyphicon")
)
)
))
),
tags$hr(),
h3(strong(
"Export collection"
)),
selectInput(
"save_fileMerge",
"Save as:",
choices = c(
" " = "null",
"Excel" = "xlsx",
"R Data Format" = "RData"
),
selected = "null"
),
conditionalPanel(
condition = "input.save_fileMerge != 'null'",
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "collection.saveMerge", label = strong("Export"),
# width = "100%",
style = "pill", color = "primary"
)
)
))
)
)
)
)
)
),
#### Filters ----
tabItem(
"filters",
fluidRow(
column(9, DT::DTOutput("dataFiltered")),
column(
3,
box(
width = "100%",
h3(strong("Filters")),
br(),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
actionBttn(
inputId = "applyFilter", label = strong("Apply"),
width = "100%", style = "pill", color = "primary",
icon = icon(name = "play", lib = "glyphicon")
)
)
)),
h5(" "),
box(h6(htmlOutput("textDim")),
width = "100%"
),
br(),
uiOutput("selectLA"),
uiOutput("sliderPY"),
uiOutput("selectType"),
uiOutput("sliderTCpY"),
selectInput("bradfordSources",
label = "Source by Bradford Law Zones",
choices = c(
"Core Sources" = "core",
"Core + Zone 2 Sources" = "zone2",
"All Sources" = "all"
),
selected = "all"
)
)
)
)
),
#### Overview ----
##### main information ----
tabItem(
"mainInfo",
fluidPage(
fluidRow(
column(
11,
h3(strong("Main Information"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMI"
)))
)
)
),
fluidRow(
#div(id = "valuebox-container",
tabsetPanel(
type = "tabs", id = "maininfo",
tabPanel(
"Plot",
fluidRow(
br(),
column(
3,
valueBoxOutput("Timespan", width = "33vh"),
valueBoxOutput("au", width = "33vh"),
valueBoxOutput("kw", width = "33vh")
),
column(
3,
valueBoxOutput("so", width = "33vh"),
valueBoxOutput("auS1", width = "33vh"),
valueBoxOutput("cr", width = "33vh")
),
column(
3,
valueBoxOutput("doc", width = "33vh"),
valueBoxOutput("col", width = "33vh"),
valueBoxOutput("agePerDoc", width = "33vh")
),
column(
3,
valueBoxOutput("cagr", width = "33vh"),
valueBoxOutput("coAuPerDoc", width = "33vh"),
valueBoxOutput("tc", width = "33vh")
),
)
),
tabPanel("Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "MainInfo", width = 700)),
align = "center"
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("MainInfoGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
#) # end div
)
)
),
##### annual scientific production ----
tabItem(
"annualScPr",
fluidPage(
fluidRow(
column(
10,
h3(strong("Annual Scientific Production"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportASP"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "ASPplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
id = "tabsASP",
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "AnnualProdPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("AnnualProdTable"))
)
)
)
)
),
##### average citation per year ----
tabItem(
"averageCitPerYear",
fluidPage(
fluidRow(
column(
10,
h3(strong("Average Citations Per Year"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportACpY"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "ACpYplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "AnnualTotCitperYearPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("AnnualTotCitperYearTable"))
)
)
)
)
),
##### three fields plot ----
tabItem(
"threeFieldPlot",
fluidPage(
fluidRow(
column(
8,
h3(strong("Three-Field Plot"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "apply3F"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTFP"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenTFP"
)))
)
),
div(
style = style_opt,
column(
1,
dropdown(
box(
title = h4(strong("Parameters")),
collapsible = FALSE,
width = 15,
solidHeader = FALSE,
fluidRow(
column(6, selectInput("CentralField",
label = "Middle Field",
choices = c(
"Authors" = "AU",
"Affiliations" = "AU_UN",
"Countries" = "AU_CO",
"Keywords" = "DE",
"Keywords Plus" = "ID",
"All Keywords" = "KW_Merged",
"Titles" = "TI_TM",
"Abstract" = "AB_TM",
"Sources" = "SO",
"References" = "CR",
"Cited Sources" = "CR_SO"
),
selected = "AU"
)),
column(6, numericInput("CentralFieldn",
label = ("Number of items"),
min = 1, max = 50, step = 1, value = 20
))
),
fluidRow(
column(6, selectInput("LeftField",
label = "Left Field",
choices = c(
"Authors" = "AU",
"Affiliations" = "AU_UN",
"Countries" = "AU_CO",
"Keywords" = "DE",
"Keywords Plus" = "ID",
"All Keywords" = "KW_Merged",
"Titles" = "TI_TM",
"Abstract" = "AB_TM",
"Sources" = "SO",
"References" = "CR",
"Cited Sources" = "CR_SO"
),
selected = "CR"
)),
column(6, numericInput("LeftFieldn",
label = ("Number of items"),
min = 1, max = 50, step = 1, value = 20
))
),
fluidRow(
column(6, selectInput("RightField",
label = "Right Field",
choices = c(
"Authors" = "AU",
"Affiliations" = "AU_UN",
"Countries" = "AU_CO",
"Keywords" = "DE",
"Keywords Plus" = "ID",
"All Keywords" = "KW_Merged",
"Titles" = "TI_TM",
"Abstract" = "AB_TM",
"Sources" = "SO",
"References" = "CR",
"Cited Sources" = "CR_SO"
),
selected = "KW_Merged"
)),
column(6, numericInput("RightFieldn",
label = ("Number of items"),
min = 1, max = 50, step = 1, value = 20
))
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel("Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "ThreeFieldsPlot", height = "90vh"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("TFPGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Sources ----
##### relevant sources ----
tabItem(
"relevantSources",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Relevant Sources"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMRSources"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMRS"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MRSplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostRelSourcesK",
label = ("Number of Sources"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelSourcesPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelSourcesTable"))
)
)
)
)
),
##### local cited sources ----
tabItem(
"localCitedSources",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Local Cited Sources"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMLCSources"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMLS"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MLCSplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostRelCitSourcesK",
label = ("Number of Sources"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelCitSourcesPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelCitSourcesTable"))
)
)
)
)
),
##### bradford law ----
tabItem(
"bradford",
fluidPage(
fluidRow(
column(
10,
# titlePanel(
h3(strong("Core Sources by Bradford's Law"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportBradford"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "BLplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "bradfordPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("bradfordTable"))
)
)
)
)
),
##### source local impact ----
tabItem(
"sourceImpact",
fluidPage(
fluidRow(
column(
8,
h3(strong("Sources' Local Impact"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyHsource"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportSI"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "SIplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("HmeasureSources",
label = "Impact measure",
choices = c(
"H-Index" = "h",
"G-Index" = "g",
"M-Index" = "m",
"Total Citation" = "tc"
),
selected = "h"
),
br(),
numericInput("Hksource",
label = ("Number of sources"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "SourceHindexPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "SourceHindexTable"))
)
)
)
)
),
##### sources prod over time ----
tabItem(
"sourceDynamics",
fluidPage(
fluidRow(
column(
8,
h3(strong("Sources' Production over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applySOGrowth"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportSD"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "SDplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("cumSO", "Occurrences",
choices = c(
"Cumulate" = "Cum",
"Per year" = "noCum"
),
selected = "Cum"
),
sliderInput("topSO",
label = "Number of Sources",
min = 1, max = 50, step = 1, value = c(1, 5)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "soGrowthPlot", height = "90vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "soGrowthtable"))
)
)
)
)
),
#### Authors ----
##### most relevant authors ----
tabItem(
"mostRelAuthors",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Relevant Authors"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMRAuthors"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMRA"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MRAplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostRelAuthorsK",
label = ("Number of Authors"),
value = 10
),
selectInput("AuFreqMeasure",
label = "Frequency measure",
choices = c(
"N. of Documents " = "t",
"Percentage" = "p",
"Fractionalized Frequency" = "f"
),
selected = "t"
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelAuthorsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelAuthorsTable"))
)
)
)
)
),
##### most local cited authors ----
tabItem(
"mostLocalCitedAuthors",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Local Cited Authors"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMLCAuthors"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMLCA"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MLCAplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostCitAuthorsK",
label = ("Number of Authors"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitAuthorsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostCitAuthorsTable"))
)
)
)
)
),
##### authors production over time ----
tabItem(
"authorsProdOverTime",
fluidPage(
fluidRow(
column(
8,
h3(strong("Authors' Production over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyAUoverTime"
)))
)
), div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportAPOT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "APOTplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("TopAuthorsProdK",
label = ("Number of Authors"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TopAuthorsProdPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table - Production per Year",
shinycssloaders::withSpinner(DT::DTOutput("TopAuthorsProdTable"))
),
tabPanel(
"Table - Documents",
shinycssloaders::withSpinner(DT::DTOutput("TopAuthorsProdTablePapers"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("ApotGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### lotka law ----
tabItem(
"lotka",
fluidPage(
fluidRow(
column(
10,
h3(strong("Author Productivity through Lotka's Law"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportLotka"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "LLplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "lotkaPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("lotkaTable"))
)
)
)
)
),
##### authors local impact ----
tabItem(
"authorImpact",
fluidPage(
fluidRow(
column(
8,
h3(strong("Authors' Local Impact"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyHAuthors"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportAI"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "AIplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("HmeasureAuthors",
label = "Impact measure",
choices = c(
"H-Index" = "h",
"G-Index" = "g",
"M-Index" = "m",
"Total Citation" = "tc"
),
selected = "h"
),
numericInput("Hkauthor",
label = ("Number of authors"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "AuthorHindexPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "AuthorHindexTable"))
)
)
)
)
),
##### most relevant affiliations ----
tabItem(
"mostRelAffiliations",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Relevant Affiliations"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMRAffiliations"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMRAFF"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "AFFplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("disAff",
label = "Affiliation Name Disambiguation",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "Y"
),
numericInput("MostRelAffiliationsK",
label = ("Number of Affiliations"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelAffiliationsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelAffiliationsTable"))
)
)
)
)
),
##### Affiliation over Time ----
tabItem(
"AffOverTime",
fluidPage(
fluidRow(
column(
8,
h3(strong("Affiliations' Production over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyAFFGrowth"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportAFFPOT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "AffOverTimeplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("topAFF",
label = "Number of Affiliations",
min = 1, max = 50, step = 1, value = 5
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "AffOverTimePlot", height = "90vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "AffOverTimeTable"))
)
)
)
)
),
##### corresponding author country ----
tabItem(
"correspAuthorCountry",
fluidPage(
fluidRow(
column(
8,
h3(strong("Corresponding Author's Countries"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCAUCountries"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMRCO"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MRCOplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostRelCountriesK",
label = ("Number of Countries"),
value = 20, min = 1, max = 50
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelCountriesPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelCountriesTable"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("MostRelCountriesGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### country scientific production ----
tabItem(
"countryScientProd",
fluidPage(
fluidRow(
column(
10,
h3(strong("Countries' Scientific Production"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCSP"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "CSPplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "countryProdPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("countryProdTable"))
)
)
)
)
),
##### Country over Time ----
tabItem(
"COOverTime",
fluidPage(
fluidRow(
column(
8,
h3(strong("Countries' Production over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCOGrowth"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCPOT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "CountryOverTimeplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
sliderInput("topCO",
label = "Number of Countries",
min = 1, max = 50, step = 1, value = 5
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "CountryOverTimePlot", height = "90vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CountryOverTimeTable"))
)
)
)
)
),
##### most cited countries ----
tabItem(
"mostCitedCountries",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Cited Countries"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMCCountries"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMCCO"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MCCplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("CitCountriesMeasure",
label = "Measure",
choices = c(
"Total Citations" = "TC",
"Average Article Citations" = "TCY"
),
selected = "TC"
),
numericInput("MostCitCountriesK",
label = ("Number of Countries"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitCountriesPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostCitCountriesTable"))
)
)
)
)
),
#### Documents ----
##### most global cited documents ----
tabItem(
"mostGlobalCitDoc",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Global Cited Documents"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMGCDocuments"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMCD"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MGCDplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostCitDocsK",
label = ("Number of Documents"),
value = 10
),
selectInput("CitDocsMeasure",
label = "Measure",
choices = c(
"Total Citations" = "TC",
"Total Citations per Year" = "TCY"
),
selected = "TC"
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitDocsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostCitDocsTable"))
)
)
)
)
),
##### most local cited documents ----
tabItem(
"mostLocalCitDoc",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Local Cited Documents"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMLCDocuments"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMLCD"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MLCDplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostLocCitDocsK",
label = ("Number of Documents"),
value = 10
),
selectInput(
inputId = "LocCitSep",
label = "Field separator character",
choices = c(
";" = ";",
". " = ". ",
"," = ","
),
selected = ";"
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostLocCitDocsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostLocCitDocsTable"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("MostLocCitDocsGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### most local cited references ----
tabItem(
"mostLocalCitRef",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Local Cited References"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMLCReferences"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMLCR"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MLCRplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostCitRefsK",
label = ("Number of Documents"),
value = 10
),
selectInput(
inputId = "CitRefsSep",
label = "Field separator character",
choices = c(
";" = ";",
". " = ". ",
"," = ","
),
selected = ";"
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitRefsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostCitRefsTable"))
)
)
)
)
),
##### references spectroscopy ----
tabItem(
"ReferenceSpect",
fluidPage(
fluidRow(
column(
8,
h3(strong("Reference Spectroscopy"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyRPYS"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportRPYS"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "RSplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput(
inputId = "rpysSep",
label = "Field separator character",
choices = c(
";" = ";",
". " = ". ",
"," = ","
),
selected = ";"
),
h4(em(strong("Time slice"))),
fluidRow(
column(
6,
numericInput(
inputId = "rpysMinYear",
label = "Starting Year",
value = NA,
step = 1
)
),
column(
6,
numericInput(
inputId = "rpysMaxYear",
label = "End Year",
value = NA,
step = 1
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "rpysPlot", height = "75vh"))
),
tabPanel(
"Table - RPYS",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "rpysTable"
))
),
tabPanel(
"Table - Cited References",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "crTable"
))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("rpysGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### most frequent words ----
tabItem(
"mostFreqWords",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Frequent Words"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMFWords"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMFW"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MRWplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("MostRelWords", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.MostRelWords == 'AB' |input.MostRelWords == 'TI'",
selectInput("MRWngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
numericInput("MostRelWordsN", label = "Number of words", min = 2, max = 100, step = 1, value = 10),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("MostRelWordsStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.MostRelWordsStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("MostRelWordsStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("MostRelWordsSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
)
# ,h5(htmlOutput("MostRelWordsStopPreview"))
),
selectInput("MRWSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.MRWSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("MRWSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("MRWSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
)
# ,h5(htmlOutput("MRWSynPreview"))
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelWordsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelWordsTable"))
)
)
)
)
),
##### word cloud ----
tabItem(
"wcloud",
fluidPage(
fluidRow(
column(
8,
h3(strong("WordCloud"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyWordCloud"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportWC"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenWC"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("summaryTerms", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.summaryTerms == 'AB' |input.summaryTerms == 'TI'",
selectInput("summaryTermsngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
numericInput("n_words", label = "Number of words", min = 10, max = 500, step = 1, value = 50),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("WCStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.WCStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("WCStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("WCSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
)
),
selectInput("WCSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.WCSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("WCSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("WCSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
)
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput("measure", "Word occurrence by",
choices = c(
"Frequency" = "freq",
"Square root" = "sqrt",
"Log" = "log",
"Log10" = "log10"
),
selected = "freq"
)
),
column(
6,
selectInput("wcShape", "Shape",
choices = c(
"Circle" = "circle",
"Cardiod" = "cardioid",
"Diamond" = "diamond",
"Pentagon" = "pentagon",
"Star" = "star",
"Triangle-forward" = "triangle-forward",
"Triangle" = "triangle"
),
selected = "circle"
)
)
),
fluidRow(
column(
6,
selectInput("font",
label = "Font type",
choices = c("Impact",
"Comic Sans MS (No plz!)" = "Comic Sans MS",
"Arial", "Arial Black", "Tahoma", "Verdana", "Courier New",
"Georgia", "Times New Roman", "Andale Mono"
)
)
),
column(
6,
selectInput("wcCol", "Text colors",
choices = c(
"Random Dark" = "random-dark",
"Random Light" = "random-light"
),
selected = "random-dark"
)
)
),
fluidRow(
column(
6,
numericInput("scale", label = "Font size", min = 0.1, max = 5, step = 0.1, value = 0.5)
),
column(
6,
numericInput("ellipticity", label = "Ellipticity", min = 0, max = 1, step = 0.05, value = 0.65)
)
),
fluidRow(
column(
6,
numericInput("padding", label = "Padding", min = 0, max = 5, value = 1, step = 1)
),
column(
6,
numericInput("rotate", label = "Rotate", min = 0, max = 20, value = 0, step = 1)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
wordcloud2::wordcloud2Output("wordcloud", height = "75vh")
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("wordTable"))
)
)
)
)
),
##### tree map ----
tabItem(
"treemap",
fluidPage(
fluidRow(
column(
8,
h3(strong("TreeMap"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyTreeMap"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTREEMAP"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenTREEMAP"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("treeTerms", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.treeTerms == 'AB' |input.treeTerms == 'TI'",
selectInput("treeTermsngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
numericInput("treen_words", label = "Number of words", min = 10, max = 200, step = 5, value = 50),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("TreeMapStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TreeMapStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("TreeMapStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TreeMapSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TreeMapStopPreview"))
),
selectInput("TreeMapSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TreeMapSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("TreeMapSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TreeMapSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TreeMapSynPreview"))
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "treemap", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("treeTable"))
)
)
)
)
),
##### word dynamics ----
tabItem(
"wordDynamics",
fluidPage(
fluidRow(
column(
8,
h3(strong("Words' Frequency over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyWD"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportWD"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "WDplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("growthTerms", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.growthTerms == 'AB' |input.growthTerms == 'TI'",
selectInput("growthTermsngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("WDStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.WDStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("WDStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("WDSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("WDStopPreview"))
),
selectInput("WDSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.WDSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("WDSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("WDSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("WDSynPreview"))
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("cumTerms", "Occurrences",
choices = c(
"Cumulate" = "Cum",
"Per year" = "noCum"
),
selected = "Cum"
),
sliderInput("topkw",
label = "Number of words",
min = 1, max = 100, step = 1, value = c(1, 10)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "kwGrowthPlot", height = "90vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "kwGrowthtable"))
)
)
)
)
),
##### trend topic ----
tabItem(
"trendTopic",
fluidPage(
fluidRow(
column(
8,
h3(strong("Trend Topics"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyTrendTopics"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "TTplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("trendTerms", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'",
selectInput("trendTermsngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
conditionalPanel(
condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'",
selectInput("trendStemming",
label = "Word Stemming",
choices = c(
"Yes" = TRUE,
"No" = FALSE
),
selected = FALSE
)
),
uiOutput("trendSliderPY"),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("TTStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TTStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("TTStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TTSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TTStopPreview"))
),
selectInput("TTSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TTSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("TTSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TTSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TTSynPreview"))
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput("trendMinFreq", label = "Word Minimum Frequency", min = 0, max = 100, value = 5, step = 1),
),
column(
6,
numericInput("trendNItems", label = "Number of Words per Year", min = 1, max = 20, step = 1, value = 3)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "trendTopicsPlot", height = "90vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "trendTopicsTable"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("trendTopicsGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Clustering by Coupling ----
tabItem(
"coupling",
fluidPage(
fluidRow(
column(
8,
h3(strong("Clustering by Coupling"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCM"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCM"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "CMplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("CManalysis",
label = "Unit of Analysis",
choices = c(
"Documents" = "documents",
"Authors" = "authors",
"Sources" = "sources"
),
selected = "documents"
),
" ",
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE,
collapsed = FALSE,
selectInput("CMfield",
label = "Coupling measured by",
choices = c(
"References" = "CR",
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "CR"
),
conditionalPanel(
condition = "input.CMfield == 'TI' | input.CMfield == 'AB'",
selectInput("CMstemming",
label = "Word Stemming",
choices = c(
"Yes" = TRUE,
"No" = FALSE
),
selected = FALSE
)
),
selectInput("CMimpact",
label = "Impact measure",
choices = c(
"Local Citation Score" = "local",
"Global Citation Score" = "global"
),
selected = "local"
),
selectInput("CMlabeling",
label = "Cluster labeling by",
choices = c(
"None" = "none",
"Keyword Plus" = "ID",
"Authors' keywords" = "DE",
"Title terms" = "TI",
"Abstract terms" = "AB"
),
selected = "DE"
),
conditionalPanel(
condition = "input.CMlabeling == 'TI' | input.CMlabeling == 'AB'",
selectInput("CMngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
fluidRow(
column(
6,
numericInput("CMn", label = "Number of Units\n ", value = 250, min = 50, max = 5000, step = 1)
),
column(
6,
numericInput("CMfreq", label = "Min Cluster Freq. ", value = 5, min = 1, max = 100, step = 1)
)
),
fluidRow(
column(
6,
numericInput("CMn.labels", label = "Labels per cluster", value = 3, min = 1, max = 10, step = 1)
),
column(
6,
numericInput("sizeCM", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
)
),
fluidRow(
column(
6,
numericInput("CMrepulsion", label = "Community Repulsion", value = 0, min = 0, max = 1, step = 0.01)
),
column(
6,
selectInput("CMcluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "CMPlot", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("CMNetPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CMTable"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CMTableCluster"))
)
)
)
)
),
#### Conceptual Structure ----
##### co-occurrence network ----
tabItem(
"coOccurenceNetwork",
fluidPage(
fluidRow(
column(
8,
h3(strong("Co-occurrence Network"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCoc"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCOC"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenCOC"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("field",
"Field",
choices = c(
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.field == 'TI' | input.field == 'AB'",
selectInput("cocngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
br(),
materialSwitch(
inputId = "noOverlap",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("COCStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.COCStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("COCStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("COCSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("COCStopPreview"))
),
selectInput("COCSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.COCSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("COCSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("COCSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("COCSynPreview"))
)
),
br(),
box(
title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput("layout",
label = "Network Layout",
choices = c(
"Automatic layout" = "auto",
"Circle" = "circle",
"Fruchterman & Reingold" = "fruchterman",
"Kamada & Kawai" = "kamada",
"MultiDimensional Scaling" = "mds",
"Sphere" = "sphere",
"Star" = "star"
),
selected = "auto"
)
),
column(
6,
selectInput("cocCluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
),
fluidRow(
column(
6,
selectInput("normalize",
label = "Normalization",
choices = c(
"none",
"association",
"jaccard",
"salton",
"inclusion",
"equivalence"
),
selected = "association"
)
),
column(
6,
selectInput("cocyears",
label = "Node Color by Year",
choices = c(
"No" = "No",
"Yes" = "Yes"
),
selected = "No"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "Nodes",
label = "Number of Nodes",
min = 5,
max = 1000,
value = 50,
step = 1
)
),
column(
6,
numericInput(
inputId = "coc.repulsion",
label = "Repulsion Force",
min = 0,
max = 1,
value = 0.1,
step = 0.1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "coc.isolates",
label = "Remove Isolated Nodes",
choices = c(
"Yes" = "yes",
"No" = "no"
),
selected = "yes"
)
),
column(
6,
numericInput("edges.min",
label = ("Minimum Number of Edges"),
value = 2,
step = 1,
min = 0
)
)
)
),
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput(
inputId = "cocAlpha",
label = "Opacity",
min = 0,
max = 1,
value = 0.7,
step = 0.05
)
),
column(
6,
numericInput(
inputId = "Labels",
label = "Number of labels",
min = 0,
max = 1000,
value = 1000,
step = 1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "label.cex",
label = "Label cex",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "coc.shape",
label = "Node Shape",
choices = c(
"Box" = "box",
"Circle" = "circle",
"Dot" = "dot",
"Ellipse" = "ellipse",
"Square" = "square",
"Text" = "text"
),
selected = "dot"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "labelsize",
label = "Label size",
min = 0.0,
max = 20,
value = 3,
step = 0.10
)
),
column(
6,
numericInput(
inputId = "edgesize",
label = "Edge size",
min = 0.0,
max = 20,
value = 5,
step = 0.5
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "coc.shadow",
label = "Node shadow",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "coc.curved",
label = "Edit Nodes",
choices = c(
"Yes",
"No"
),
selected = "No"
)
)
)
),
br(),
fluidRow(
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "network.coc", label = ("Pajek"),
style = "pill", color = "primary"
)
)
),
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "networkCoc.fig", label = ("HTML"),
style = "pill", color = "primary"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("cocPlot", height = "75vh"))
),
tabPanel(
"Density",
shinycssloaders::withSpinner(plotlyOutput(outputId = "cocOverlay", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "cocTable"
))
),
tabPanel(
"Degree Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "cocDegree", height = "75vh"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("cocGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### thematic map ----
tabItem(
"thematicMap",
fluidPage(
fluidRow(
column(
8,
h3(strong("Thematic Map"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyTM"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTM"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "TMplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("TMfield",
label = "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.TMfield == 'TI' | input.TMfield == 'AB'",
selectInput("TMngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
conditionalPanel(
condition = "input.TMfield == 'TI' | input.TMfield == 'AB'",
selectInput("TMstemming",
label = "Word Stemming",
choices = c(
"Yes" = TRUE,
"No" = FALSE
),
selected = FALSE
)
),
br(),
materialSwitch(
inputId = "noOverlapTM",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("TMStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TMStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("TMStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TMSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TMStopPreview"))
),
selectInput("TMapSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TMapSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("TMapSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TMapSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TMapSynPreview"))
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput("TMn", label = "Number of Words", value = 250, min = 50, max = 5000, step = 1)
),
column(
6,
numericInput("TMfreq", label = "Min Cluster Frequency (per thousand docs)", value = 5, min = 1, max = 100, step = 1)
)
),
fluidRow(
column(
6,
numericInput("TMn.labels", label = "Number of Labels", value = 3, min = 0, max = 10, step = 1)
),
column(
6,
numericInput("sizeTM", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
)
),
fluidRow(
column(
6,
numericInput("TMrepulsion", label = "Community Repulsion", value = 0, min = 0, max = 1, step = 0.01)
),
column(
6,
selectInput("TMCluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("TMGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### thematic evolution ----
tabItem(
"thematicEvolution",
fluidPage(
fluidRow(
column(
8,
h3(strong("Thematic Evolution"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyTE"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTE"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "TEplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("TEfield",
label = "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.TEfield == 'TI' | input.TEfield == 'AB'",
selectInput("TEngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
br(),
materialSwitch(
inputId = "noOverlapTE",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("TEStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TEStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("TEStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TESep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TEStopPreview"))
),
selectInput("TESynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TESynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("TESyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TESynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TESynPreview"))
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput("nTE", label = "Number of Words", value = 250, min = 50, max = 5000, step = 1)
),
column(
6,
numericInput("fTE", label = "Min Cluster Frequency (per thousand docs)", value = 5, min = 1, max = 100, step = 1)
)
),
fluidRow(
column(
6,
selectInput("TEmeasure",
label = "Weight index",
choices = c(
"Inclusion Index" = "inclusion",
"Inclusion Index weighted by Word-Occurrences" = "weighted",
"Stability Index" = "stability"
),
selected = "weighted"
)
),
column(
6,
numericInput("minFlowTE", label = "Min Weight Index", value = 0.1, min = 0.02, max = 1, step = 0.02)
)
),
fluidRow(
column(
6,
numericInput("sizeTE", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
),
column(
6,
numericInput("TEn.labels", label = "Number of Labels (for each cluster)", value = 3, min = 1, max = 5, step = 1)
)
),
fluidRow(column(
12,
selectInput("TECluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
))
),
br(),
box(
title = p(strong("Time Slices"), style = "font-size:16px;color:black;"),
collapsible = FALSE, width = 15,
solidHeader = FALSE, collapsed = FALSE,
numericInput("numSlices", label = "Number of Cutting Points", min = 1, max = 4, value = 1),
"Please, write the cutting points (in year) for your collection",
uiOutput("sliders")
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Thematic Evolution",
tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(visNetworkOutput(outputId = "TEPlot", height = "75vh", width = "100%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TETable"))
)
)
),
tabPanel("Time Slice 1", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot1", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot1", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable1"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster1"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument1"))
)
)),
tabPanel("Time Slice 2", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot2", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot2", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable2"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster2"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument2"))
)
)),
tabPanel("Time Slice 3", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot3", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot3", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable3"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster3"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument3"))
)
)),
tabPanel("Time Slice 4", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot4", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot4", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable4"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster4"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument4"))
)
)),
tabPanel("Time Slice 5", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot5", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot5", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable5"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster5"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument5"))
)
)),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("TEGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### factorial analysis ----
tabItem(
"factorialAnalysis",
fluidPage(
fluidRow(
column(
8,
h3(strong("Factorial Analysis"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCA"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportFA"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "FAplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("method",
label = "Method",
choices = c(
"Correspondence Analysis" = "CA",
"Multiple Correspondence Analysis" = "MCA",
"Multidimensional Scaling" = "MDS"
),
selected = "MCA"
),
selectInput("CSfield",
label = "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.CSfield == 'TI' | input.CSfield == 'AB'",
selectInput("CSngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("CSStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.CSStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("CSStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("CSSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("CSStopPreview"))
),
selectInput("FASynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.FASynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("FASyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("FASynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("FASynPreview"))
)
),
br(),
box(
title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput("CSn",
label = ("Number of terms"),
value = 50, step = 1
)
),
column(
6,
selectInput("nClustersCS",
label = "N. of Clusters",
choices = c(
"1" = "1",
"2" = "2",
"3" = "3",
"4" = "4",
"5" = "5",
"6" = "6",
"7" = "7",
"8" = "8"
),
selected = "1"
)
)
)
),
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput(
inputId = "CSlabelsize",
label = "Label size",
min = 5,
max = 30,
value = 10
)
),
column(
6,
numericInput("CSdoc",
label = ("Num. of documents"),
value = 5
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Word Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "CSPlot1", height = "75vh", width = "98.9%"))
),
tabPanel(
"Topic Dendrogram",
shinycssloaders::withSpinner(visNetworkOutput("CSPlot4", width = "auto", height = "75vh"))
),
# tabPanel("Most Contributing Papers",
# shinycssloaders::withSpinner(plotOutput(
# outputId = "CSPlot2"))),
# tabPanel("Most Cited Papers",
# shinycssloaders::withSpinner(plotOutput(
# outputId = "CSPlot3"))),
tabPanel(
"Words by Cluster",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CSTableW"))
),
tabPanel(
"Articles by Cluster",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CSTableD"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("CSGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Intellectual Structure ----
##### co-citation network ----
tabItem(
"coCitationNetwork",
fluidPage(
fluidRow(
column(
8,
h3(strong("Co-citation Network"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCocit"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCOCIT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenCOCIT"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("citField",
label = "Field",
choices = c(
"Papers" = "CR",
"Authors" = "CR_AU",
"Sources" = "CR_SO"
),
selected = "CR"
),
selectInput(
inputId = "citSep",
label = "Field separator character",
choices = c(
'";" (Semicolon)' = ";",
'". " (Dot and 3 or more spaces)' = ". ",
'"," (Comma)' = ","
),
selected = "';'"
),
br(),
materialSwitch(
inputId = "citNoOverlap",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput("citlayout",
label = "Network Layout",
choices = c(
"Automatic layout" = "auto",
"Circle" = "circle",
"Fruchterman & Reingold" = "fruchterman",
"Kamada & Kawai" = "kamada",
"MultiDimensional Scaling" = "mds",
"Sphere" = "sphere",
"Star" = "star"
),
selected = "auto"
)
),
column(
6,
selectInput("cocitCluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "citNodes",
label = "Number of Nodes",
min = 5,
max = 1000,
value = 50,
step = 1
)
),
column(
6,
numericInput(
inputId = "cocit.repulsion",
label = "Repulsion Force",
min = 0,
max = 1,
value = 0.1,
step = 0.1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "cit.isolates",
label = "Remove Isolated Nodes",
choices = c(
"Yes" = "yes",
"No" = "no"
),
selected = "yes"
)
),
column(
6,
numericInput("citedges.min",
label = ("Minimum Number of Edges"),
value = 2,
step = 1,
min = 0
)
)
)
),
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput(
inputId = "citShortlabel",
label = "Short Label",
choices = c(
"Yes",
"No"
),
selected = "Yes"
),
),
column(
6,
numericInput(
inputId = "citLabels",
label = "Number of labels",
min = 0,
max = 1000,
value = 1000,
step = 1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "citlabel.cex",
label = "Label cex",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "cocit.shape",
label = "Node Shape",
choices = c(
"Box" = "box",
"Circle" = "circle",
"Dot" = "dot",
"Ellipse" = "ellipse",
"Square" = "square",
"Text" = "text"
),
selected = "dot"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "citlabelsize",
label = "Label size",
min = 0.0,
max = 20,
value = 2,
step = 0.10
)
),
column(
6,
numericInput(
inputId = "citedgesize",
label = "Edge size",
min = 0.5,
max = 20,
value = 2,
step = 0.5
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "cocit.shadow",
label = "Node shadow",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "cocit.curved",
label = "Edit Nodes",
choices = c(
"Yes",
"No"
),
selected = "No"
)
)
)
),
br(),
fluidRow(
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "network.cocit", label = ("Pajek"),
style = "pill", color = "primary"
)
)
),
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "networkCocit.fig", label = ("HTML"),
style = "pill", color = "primary"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("cocitPlot", height = "75vh"))
),
tabPanel(
"Density",
shinycssloaders::withSpinner(plotlyOutput(outputId = "cocitOverlay", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "cocitTable"
))
),
tabPanel(
"Degree Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "cocitDegree", height = 700))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("cocitGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### historiograph ----
tabItem(
"historiograph",
fluidPage(
fluidRow(
column(
8,
h3(strong("Historiograph"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyHist"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportHIST"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenHIST"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput(
inputId = "histNodes",
label = "Number of Nodes",
min = 5,
max = 100,
value = 20,
step = 1
),
" ",
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE,
collapsed = FALSE,
selectInput(
inputId = "titlelabel",
label = "Node label",
choices = c(
"Short id (1st Author, Year)" = "short",
"Document Title" = "title",
"Authors' Keywords" = "keywords",
"Keywords Plus" = "keywordsplus"
),
selected = "short"
),
selectInput(
inputId = "hist.isolates",
label = "Remove Isolated Nodes",
choices = c(
"Yes" = "yes",
"No" = "no"
),
selected = "yes"
),
fluidRow(
column(
6,
numericInput(
inputId = "histlabelsize",
label = "Label size",
min = 0.0,
max = 20,
value = 3, step = 1
)
),
column(
6,
numericInput(
inputId = "histsize",
label = "Node size",
min = 0,
max = 20,
value = 2, step = 1
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("histPlotVis", height = "80vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "histTable"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("histGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Social Structure ----
##### collaboration network ----
tabItem(
"collabNetwork",
fluidPage(
fluidRow(
column(8, h3(strong("Collaboration Network"), align = "center")),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCol"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCOL"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenCOL"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("colField",
label = "Field",
choices = c(
"Authors" = "COL_AU",
"Institutions" = "COL_UN",
"Countries" = "COL_CO"
),
selected = "COL_AU"
),
br(),
materialSwitch(
inputId = "colNoOverlap",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput("collayout",
label = "Network Layout",
choices = c(
"Automatic layout" = "auto",
"Circle" = "circle",
"Fruchterman & Reingold" = "fruchterman",
"Kamada & Kawai" = "kamada",
"MultiDimensional Scaling" = "mds",
"Sphere" = "sphere",
"Star" = "star"
),
selected = "auto"
)
),
column(
6,
selectInput("colCluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
),
fluidRow(column(
6,
selectInput("colnormalize",
label = "Normalization",
choices = c(
"none",
"association",
"jaccard",
"salton",
"inclusion",
"equivalence"
),
selected = "association"
)
)),
fluidRow(
column(
6,
numericInput(
inputId = "colNodes",
label = "Number of Nodes",
min = 5,
max = 1000,
value = 50,
step = 1
)
),
column(
6,
numericInput(
inputId = "col.repulsion",
label = "Repulsion Force",
min = 0,
max = 1,
value = 0.1,
step = 0.1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "col.isolates",
label = "Remove Isolated Nodes",
choices = c(
"Yes" = "yes",
"No" = "no"
),
selected = "yes"
)
),
column(
6,
numericInput("coledges.min",
label = ("Minimum Number of Edges"),
value = 1,
step = 1,
min = 0
)
)
)
),
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput(
inputId = "colAlpha",
label = "Opacity",
min = 0,
max = 1,
value = 0.7,
step = 0.05
)
),
column(
6,
numericInput(
inputId = "colLabels",
label = "Number of labels",
min = 0,
max = 1000,
value = 1000,
step = 1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "collabel.cex",
label = "Label cex",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "col.shape",
label = "Node Shape",
choices = c(
"Box" = "box",
"Circle" = "circle",
"Dot" = "dot",
"Ellipse" = "ellipse",
"Square" = "square",
"Text" = "text"
),
selected = "dot"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "collabelsize",
label = "Label size",
min = 0.0,
max = 20,
value = 2,
step = 0.10
)
),
column(
6,
numericInput(
inputId = "coledgesize",
label = "Edge size",
min = 0.5,
max = 20,
value = 5,
step = 0.5
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "col.shadow",
label = "Node shadow",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "soc.curved",
label = "Edit Nodes",
choices = c(
"Yes",
"No"
),
selected = "No"
)
)
)
),
br(),
fluidRow(
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "network.col", label = ("Pajek"),
style = "pill", color = "primary"
)
)
),
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "networkCol.fig", label = ("HTML"),
style = "pill", color = "primary"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("colPlot", height = "75vh"))
),
tabPanel(
"Density",
shinycssloaders::withSpinner(plotlyOutput(outputId = "colOverlay", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "colTable"))
),
tabPanel(
"Degree Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "colDegree", height = "75vh"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("colGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### collaboration world map ----
tabItem(
"collabWorldMap",
fluidPage(
fluidRow(
column(8, h3(strong("Countries' Collaboration World Map"), align = "center")),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyWM"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCOLW"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "CCplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
h4(strong("Method Parameters: ")),
" ",
numericInput("WMedges.min",
label = ("Min edges"),
value = 2,
step = 1
),
" ",
br(),
h4(strong("Graphical Parameters: ")),
" ",
numericInput(
inputId = "WMedgesize",
label = "Edge size",
min = 0.1,
max = 20,
value = 5
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
# shinycssloaders::withSpinner(plotOutput(outputId = "WMPlot"))
shinycssloaders::withSpinner(plotlyOutput(outputId = "WMPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "WMTable"
))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("WMGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Report ----
tabItem(
"report",
fluidPage(
fluidRow(
h3(strong("Report"), align = "center"),
br(),
),
fluidRow(
column(6,
offset = 1,
box(
title = strong("Select results to include in the Report",
style = "font-size:20px;color:white;"
),
status = "primary", width = 11, solidHeader = TRUE,
tags$style(HTML("
.box.box-solid.box-primary>.box-header {
background:#4379cd;
}
.box.box-solid.box-primary{
border-bottom-color:black;
border-left-color:black;
border-right-color:black;
border-top-color:black;
border-width:2px;
}")),
uiOutput("reportSheets"),
tags$style("#reportSheets {font-size:18px;}")
)
), # column(1),
column(
2,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
# width="100%",
actionBttn(
inputId = "allSheets",
label = strong("Select All"),
icon = icon("ok-circle", lib = "glyphicon"),
style = "pill", color = "primary",
block = TRUE
),
# tags$style("#allSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"),
br(),
actionBttn(
inputId = "noSheets",
label = strong("Deselect All"),
icon = icon("remove-circle", lib = "glyphicon"),
style = "pill", color = "primary",
block = TRUE
),
# tags$style("#noSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"),
# tags$style("#deleteAll {border-width: 3px;}"),
br(),
hr(),
downloadBttn(
outputId = "report.save",
label = strong("Export Report"),
style = "pill", color = "success",
size = "md",
block = TRUE,
no_outline = TRUE,
icon = icon(name = "download-alt", lib = "glyphicon")
), # , tags$style("#report.save {border-width: 3px;}")
br(),
hr(),
actionBttn(
inputId = "deleteAll",
label = strong("Delete Report"),
icon = icon("exclamation-sign", lib = "glyphicon"),
style = "pill", color = "danger",
block = TRUE
)
)
)
)
)
),
#### TALL Export ----
tabItem(
"tall",
fluidPage(
fluidRow(
h3(strong("TALL - Text Analysis for All"), align = "center"),
br()
),
fluidRow(
column(
8,
fluidRow(
column(
4,
div(img(src = "tall_logo.jpg", height = "90%", width = "90%"), style = "text-align: center;")
),
column(
8,
HTML(
"<div style='text-align: center;'>
<p style='font-size: 16px;max-width: 1400px; margin: auto; text-align: justify;'>
<strong>Biblioshiny</strong> now includes a dedicated export tool that allows you to prepare and extract textual data (Titles, Abstracts, and Keywords) from your bibliographic collection in a format ready to be used in TALL.
<br><br>
<strong>TALL</strong> is a user-friendly R Shiny application designed to support researchers in performing textual data analysis without requiring advanced programming skills.
<br><br>
<strong>TALL</strong> offers a comprehensive workflow for data cleaning, pre-processing, statistical analysis, and visualization of textual data, by combining state-of-the-art text analysis techniques into an R Shiny app.
<br><br>
<strong>TALL</strong> includes a wide set of methodologies specifically tailored for various text analysis tasks. It aims to address the needs of researchers without extensive programming skills, providing a versatile and general-purpose tool for analyzing textual data. With TALL, researchers can leverage a wide range of text analysis techniques without the burden of extensive programming knowledge, enabling them to extract valuable insights from textual data in a more efficient and accessible manner.
<br><br>
Learn more at: <a href='https://www.tall-app.com' target='_blank'>www.tall-app.com</a>
</p>
</div>"
)
)
),
fluidRow(
shinycssloaders::withSpinner(DT::DTOutput(outputId = "tallTable"))
)
),
column(
4,
fluidRow(
box(
width = 12,
div(h3(strong(em("Export a corpus for TALL"))), style = "margin-top:-57px"),
hr(),
helpText(h4("Select textual metadata:")),
multiInput(
inputId = "tallFields",
label = NULL,
choiceNames = "",
choiceValues = "",
width = "100%"
),
hr(),
helpText(h4("Select additional metadata:")),
multiInput(
inputId = "tallMetadata",
label = NULL,
choiceNames = "",
choiceValues = "",
width = "100%"
),
hr(),
div(
fluidRow(
column(
6,
div(
style = style_bttn, align = "center",
title = t_run,
# column(1,
do.call("actionBttn", c(run_bttn, list(
inputId = "tallRun"
)))
)
),
column(
6,
div(
style = style_bttn, align = "center",
title = t_export,
do.call("downloadBttn", c(export_bttn, list(
outputId = "tall.save"
)))
)
)
),
style = "margin-top:-15px"
),
hr(),
helpText("Select at least one textual field to export, click 'Play' to generate the dataset, then save and import it into TALL.", style = "font-size: 16px"),
uiOutput("tallBttn1"),
uiOutput("tallBttn2")
# fluidRow(
# # column(6,
# # uiOutput("tallBttn1")),
# # column(6,
# # uiOutput("tallBttn2"))
# )
)
)
)
)
)
),
#### Settings ----
tabItem(
"settings",
fluidPage(
fluidRow(
h3(strong("Settings"), align = "center"),
br()
),
fluidRow(column(
6,
h3("Plot settings:"),
br(),
sliderTextInput(
inputId = "dpi",
label = "Please select the desired DPI",
grid = TRUE,
force_edges = TRUE,
choices = c("75", "150", "300", "600"),
width = "70%",
selected = "300"
),
br(),
sliderTextInput(
inputId = "h",
label = "Please select the desired heigth in inches",
grid = TRUE,
force_edges = TRUE,
width = "70%",
choices = seq(5, 15),
selected = "7"
)
), column(
6
### To insert settings for default path, etc.
)),
hr(),
h3("'Biblio AI' Api Key"),
h4("Set a valid API Key to use 'Biblio AI' features powered by Google Gemini."),
h5(HTML(
'If you don’t have one yet, you can generate it by logging into <a href="https://aistudio.google.com/app/apikey" target="_blank">AI Studio</a> with your Google account and creating a new API Key.'
)),
br(),
fluidRow(
column(4,
passwordInput("api_key", "Enter your Gemini API Key:", "", width = "100%"),
uiOutput("apiStatus"),
br(),
fluidRow(
column(6,
actionButton("set_key", "Set API Key",style = "color:white;", width = "90%")
),
column(6,
actionButton("remove_key", "Remove API Key",style = "color:white;",width = "90%")
)
)),
column(2),
column(4,
uiOutput("geminiModelChoice")#, style = "color: red; font-weight: bold;")
)
)
# br(),
)
)
)
)
## UI ####
ui <- shinydashboardPlus::dashboardPage(
# shinyjs::useShinyjs(),
header = header,
sidebar = sidebar,
body = body,
# controlbar = controlbar,
footer = NULL,
options = list(sidebarExpandOnHover = TRUE),
scrollToTop = TRUE
)
# END ----
massimoaria/bibliometrix documentation built on June 15, 2025, 2:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
source("libraries.R", local = TRUE)
source("helpContent.R", local = TRUE)
suppressMessages(libraries())
# UI components ----
## Title ----
mytitle <- tags$link(
tags$a(
href = "https://www.bibliometrix.org/", target = "_blank",
tags$img(src = "logo2.jpg", height = "40", width = "40")
),
strong("bibliometrix")
)
intro <- "https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html"
importData <- "https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html"
slides <- "https://bibliometrix.org/biblioshiny/assets/player/KeynoteDHTMLPlayer.html#0"
donation <- "https://www.bibliometrix.org/home/index.php/donation"
bibliometrixWeb <- "https://www.bibliometrix.org/"
k_synth <- "https://www.k-synth.unina.it"
github_aria <- "https://github.com/massimoaria/bibliometrix"
style_opt <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (option button)
style_bttn <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (action buttons)
t_report <- "Add Results to the Report"
t_export <- "Export Plot as PNG"
t_run <- "Run the Analysis"
run_bttn <- list(
label = NULL,
style = "material-circle",
color = "primary",
icon = icon(name = "play", lib = "glyphicon")
)
report_bttn <- list(
label = NULL,
style = "material-circle",
color = "primary",
icon = icon(name = "plus", lib = "glyphicon")
)
export_bttn <- list(
label = NULL,
style = "material-circle",
color = "primary",
icon = icon(name = "download", lib = "glyphicon")
)
## load content of Info page
biblioAI <- helpContent()$biblioAI
info <- helpContent()$info
pubs <- helpContent()$publications
## Header ----
header <- shinydashboardPlus::dashboardHeader(
title = mytitle,
titleWidth = 300,
# controlbarIcon = fa_i(name ="bars"),
dropdownMenuOutput("notificationMenu"),
dropdownMenu(
type = "messages",
icon = icon("question"),
badgeStatus = NULL,
headerText = strong("Help Menu"),
messageItem2(
from = "Package Tutorial",
message = "",
href = intro,
icon = icon("play-circle", lib = "glyphicon")
),
messageItem2(
from = "Convert and Import Data",
message = "",
icon = icon("info-sign", lib = "glyphicon"),
href = importData
),
messageItem2(
icon = icon("play", lib = "glyphicon"),
from = "biblioshiny Tutorial",
message = "",
href = slides
)
),
dropdownMenu(
type = "messages",
icon = icon("comment-dollar", lib = "font-awesome"),
badgeStatus = NULL,
headerText = strong("Donate"),
messageItem2(
from = "Donation",
message = "",
href = donation,
icon = icon("share-alt", lib = "glyphicon")
)
),
dropdownMenu(
type = "messages",
icon = fa_i(name = "cube"),
badgeStatus = NULL,
headerText = strong("Credits"),
messageItem2(
from = "Bibliometrix",
message = "",
href = bibliometrixWeb,
icon = fa_i(name = "globe")
),
messageItem2(
from = "K-Synth",
message = "",
href = k_synth,
icon = fa_i(name = "watchman-monitoring")
),
messageItem2(
from = "Github",
message = "",
href = github_aria,
icon = fa_i(name = "github")
)
),
tags$li(
class = "dropdown",
tags$style(".main-header .logo {height: 53px}")
)
)
## Side Bar ----
sidebar <- shinydashboardPlus::dashboardSidebar(
useShinyjs(),
sidebarMenu(
id = "sidebarmenu",
menuItem("biblioshiny", tabName = "biblioshinyy", icon = fa_i(name = "house-user")),
menuItem("Info",
tabName = "info", icon = fa_i(name = "circle-info"),
menuSubItem("Biblio AI", tabName = "biblioAI", icon = fa_i(name = "microchip")),
menuSubItem("Supported Files", tabName = "supFiles", icon = fa_i(name = "database")),
menuSubItem("Team's Publications", tabName = "pubs", icon = fa_i(name = "book"))
),
menuItem("Data",
tabName = "uploadData", icon = fa_i(name = "file-import"),
menuSubItem("Import or Load", tabName = "loadData", icon = icon("chevron-right", lib = "glyphicon")),
menuSubItem("API", tabName = "gathData", icon = icon("chevron-right", lib = "glyphicon")),
menuSubItem("Merge Collections", tabName = "mergeData", icon = icon("chevron-right", lib = "glyphicon"))
),
menuItemOutput("rest_of_sidebar"),
menuItem("Settings", tabName = "settings", icon = fa_i(name = "sliders"))
),
textOutput("res"),
width = 300
)
## Body ####
### Theme ----
data("customTheme", envir = environment())
### Body Content ----
body <- dashboardBody(
customTheme,
## workaround to solve visualization issues in Data Table
tags$head(tags$style(HTML(".has-feedback .form-control { padding-right: 0px;}"))),
###
tags$head(
tags$style(".fa-envelope {color:#FF0000; font-size: 20px}"),
tags$style(".fa-envelope-open {font-size: 20px}"),
tags$style(".fa-cube {font-size: 20px}"),
tags$style(".fa-question {font-size: 20px}"),
tags$style(".fa-comment-dollar {font-size: 20px}"),
tags$style(".fa-bars {font-size: 20px}"),
tags$style(".sidebar-toggle {font-size: 15px}"),
tags$script(
'var dimension = [0, 0];
$(document).on("shiny:connected", function(e) {
dimension[0] = window.innerWidth;
dimension[1] = window.innerHeight;
Shiny.onInputChange("dimension", dimension);
});
$(window).resize(function(e) {
dimension[0] = window.innerWidth;
dimension[1] = window.innerHeight;
Shiny.onInputChange("dimension", dimension);
});
$(document).ready(function(){
$("a[data-toggle=tab]").on("show.bs.tab", function(e){
Shiny.setInputValue("activeTab", $(this).attr("data-value"));
});
});
'
)
),
tabItems(
#### Homepage ----
##### home ----
tabItem(
"biblioshinyy",
fluidPage(
fluidRow(
column(
12,
div(h1("biblioshiny: the shiny app for bibliometrix",
style = "text-align:center; font-size:50px;"
)),
br()
),
column(
12,
div(img(src = "logoAI.jpg", height = "35%", width = "35%"), style = "text-align: center;")
),
column(
12,
div(h3(em("Biblioshiny 5.0 now includes Biblio AI – a powerful AI assistant for your science mapping analyses.",
# em(a("bibliometrix website.",
# href = "https://www.bibliometrix.org", target = "_blank"
# )),
),style = "text-align:center; font-size:24px;"
)),
br(),
hr()
),
column(
12,
div(h6("biblioshiny and bibliometrix are open-source and freely available for use, distributed under the MIT license.",
style = "text-align:center; font-size:19px;"
)),
div(h6("When they are used in a publication, we ask that authors to cite the following reference:",
style = "text-align:center; font-size:19px;"
)),
div(h6("Aria, M., & Cuccurullo, C. (2017).", strong(" bibliometrix: An R-tool for comprehensive"),
style = "text-align:center; font-size:22px;"
)),
div(h6(strong("science mapping analysis."),
em("Journal of Informetrics"), ", 11(4), 959-975.",
style = "text-align:center; font-size:22px;"
)),
br(),
div(h6("Failure to properly cite the software is considered a violation of the license.",
style = "text-align:center; font-size:19px;"
)),
br(),
div(p("For an introduction and live examples, visit the ",
em(a("bibliometrix website.",
href = "https://www.bibliometrix.org", target = "_blank"
)),
style = "text-align:center; font-size:18px;"
)),
)
)
)
),
tabItem(
"biblioAI",
fluidPage(
fluidRow(
column(1),
column(
10,
HTML(biblioAI)
),
column(1)
)
)
),
tabItem(
"supFiles",
fluidPage(
fluidRow(
column(1),
column(
10,
HTML(info),
div(img(src = "table_DBformats.jpg", height = "70%", width = "70%"), style = "text-align: center;")
),
column(1)
)
)
),
tabItem(
"pubs",
fluidPage(
fluidRow(
column(1),
column(
10,
HTML(pubs)
),
column(1)
)
)
),
#### Data ----
##### load Data ----
tabItem(
"loadData",
fluidPage(
fluidRow(
div(
tags$head(tags$style(
HTML(
"table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
background-color: #9c4242 !important;
}
"
)
)),
tags$style(
HTML(
".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
color: #000000 !important;
}"
)
),
column(
9,
uiOutput("collection_descriptionUI"),
shinycssloaders::withSpinner(DT::DTOutput("contents"))
),
column(
3,
fluidRow(
box(
width = "100%",
h3(strong("Import or Load ")),
selectInput("load",
label = "Please, choose what to do",
choices = c(
" " = "null",
"Import raw file(s)" = "import",
"Load bibliometrix file(s)" = "load",
"Use a sample collection" = "demo"
),
selected = "null"
),
conditionalPanel(
condition = "input.load == 'demo'",
helpText(
h4(strong("The use of bibliometric approaches in business and management disciplines.")),
h5(strong("Dataset 'Management'")),
em(
"A collection of scientific articles about the use of bibliometric approaches",
"in business and management disciplines."
),
br(),
em("Period: 1985 - 2020
, Source WoS.")
)
),
conditionalPanel(
condition = "input.load == 'import'",
selectInput(
"dbsource",
label = "Database",
choices = c(
"Web of Science (WoS/WoK)" = "isi",
"Scopus" = "scopus",
"Dimensions" = "dimensions",
"Openalex" = "openalex",
"OpenAlex API (via openalexR)" = "openalex_api",
"Lens.org" = "lens",
"PubMed" = "pubmed",
"Cochrane Library" = "cochrane"
),
selected = "isi"
),
selectInput(
"authorName",
label = "Author Name format",
choices = c(
"Fullname (if available)" = "AF",
"Surname and Initials" = "AU"
),
selected = "AU"
)
),
conditionalPanel(
condition = "input.load != 'null' & input.load != 'demo'",
conditionalPanel(
condition = "input.load == 'load'",
helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix"))
),
fileInput(
"file1",
"Choose a file",
multiple = FALSE,
accept = c(
".csv",
".txt",
".ciw",
".bib",
".xlsx",
".zip",
".xls",
".rdata",
".rda",
".rds"
)
)
),
conditionalPanel(
condition = "input.load != 'null'",
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
actionBttn(
inputId = "applyLoad", label = strong("Start"),
width = "100%", style = "pill", color = "primary",
icon = icon(name = "play", lib = "glyphicon")
)
)
))
),
tags$hr(),
uiOutput("textLog2"),
tags$hr(),
h3(strong(
"Export collection"
)),
selectInput(
"save_file",
"Save as:",
choices = c(
" " = "null",
"Excel" = "xlsx",
"R Data Format" = "RData"
),
selected = "null"
),
conditionalPanel(
condition = "input.save_file != 'null'",
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "collection.save", label = strong("Export"),
# width = "100%",
style = "pill", color = "primary"
)
)
))
)
)
)
)
)
)
)
),
##### gather Data ----
tabItem(
"gathData",
fluidPage(
fluidRow(
tags$head(tags$style(
HTML(
"table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
background-color: #9c4242 !important;
}
"
)
)),
tags$style(
HTML(
".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
color: #000000 !important;
}"
)
),
column(9, shinycssloaders::withSpinner(DT::DTOutput("apiContents"))),
column(
3,
box(
width = "100%",
h3(strong(
"Gather data using APIs "
)),
br(),
selectInput(
"dbapi",
label = "Database",
choices = c(
"DS Dimensions" = "ds",
"PubMed" = "pubmed"
),
selected = "pubmed"
),
## Dimenions API
conditionalPanel(
condition = "input.dbapi == 'ds'",
br(),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
actionBttn(
inputId = "dsShow", label = "1. Configure API",
style = "pill", color = "primary",
icon = icon(name = "sliders")
)
)
)),
# h5(tags$b("Your Query")),
verbatimTextOutput("queryLog2", placeholder = FALSE),
h5(tags$b("Documents returned using your query")),
verbatimTextOutput("sampleLog2", placeholder = FALSE)
),
### Pubmed API
conditionalPanel(
condition = "input.dbapi == 'pubmed'",
br(),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
actionBttn(
inputId = "pmShow", label = "1. Configure API",
style = "pill", color = "primary",
icon = icon(name = "sliders")
)
)
)),
# h5(tags$b("Your Query")),
verbatimTextOutput("pmQueryLog2", placeholder = FALSE),
h5(tags$b("Documents returned using your query")),
verbatimTextOutput("pmSampleLog2", placeholder = FALSE),
),
tags$hr(),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
actionBttn(
inputId = "apiApply", label = "2. Download",
style = "pill", color = "primary",
icon(name = "download")
)
)
)),
tags$hr(),
h3(strong("Export a bibliometrix file ")),
br(),
selectInput(
"save_file_api",
"Save as:",
choices = c(
" " = "null",
"Excel" = "xlsx",
"R Data Format" = "RData"
),
selected = "null"
),
conditionalPanel(
condition = "input.save_file_api != 'null'",
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "collection.save_api", label = strong("Export"),
style = "pill", color = "primary"
)
)
))
)
)
)
)
)
),
##### merge Data ----
tabItem(
"mergeData",
fluidPage(
fluidRow(
div(
tags$head(tags$style(
HTML(
"table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
background-color: #9c4242 !important;
}
"
)
)),
tags$style(
HTML(
".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
color: #000000 !important;
}"
)
),
column(
9,
uiOutput("collection_description_mergeUI"),
shinycssloaders::withSpinner(DT::DTOutput("contentsMerge"))
),
column(
3,
fluidRow(
box(
width = "100%",
h3(strong("Load Collections")),
helpText(em("Merge collections in Excel or R format coming from different DBs")),
fileInput(
"fileMerge",
"Select collection files",
multiple = TRUE,
accept = c(
".xlsx",
".rdata"
)
)
),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
actionBttn(
inputId = "applyMerge", label = strong("Start"),
width = "100%", style = "pill", color = "primary",
icon = icon(name = "play", lib = "glyphicon")
)
)
))
),
tags$hr(),
h3(strong(
"Export collection"
)),
selectInput(
"save_fileMerge",
"Save as:",
choices = c(
" " = "null",
"Excel" = "xlsx",
"R Data Format" = "RData"
),
selected = "null"
),
conditionalPanel(
condition = "input.save_fileMerge != 'null'",
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "collection.saveMerge", label = strong("Export"),
# width = "100%",
style = "pill", color = "primary"
)
)
))
)
)
)
)
)
),
#### Filters ----
tabItem(
"filters",
fluidRow(
column(9, DT::DTOutput("dataFiltered")),
column(
3,
box(
width = "100%",
h3(strong("Filters")),
br(),
fluidRow(column(
12,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
align = "center",
width = "100%",
actionBttn(
inputId = "applyFilter", label = strong("Apply"),
width = "100%", style = "pill", color = "primary",
icon = icon(name = "play", lib = "glyphicon")
)
)
)),
h5(" "),
box(h6(htmlOutput("textDim")),
width = "100%"
),
br(),
uiOutput("selectLA"),
uiOutput("sliderPY"),
uiOutput("selectType"),
uiOutput("sliderTCpY"),
selectInput("bradfordSources",
label = "Source by Bradford Law Zones",
choices = c(
"Core Sources" = "core",
"Core + Zone 2 Sources" = "zone2",
"All Sources" = "all"
),
selected = "all"
)
)
)
)
),
#### Overview ----
##### main information ----
tabItem(
"mainInfo",
fluidPage(
fluidRow(
column(
11,
h3(strong("Main Information"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMI"
)))
)
)
),
fluidRow(
#div(id = "valuebox-container",
tabsetPanel(
type = "tabs", id = "maininfo",
tabPanel(
"Plot",
fluidRow(
br(),
column(
3,
valueBoxOutput("Timespan", width = "33vh"),
valueBoxOutput("au", width = "33vh"),
valueBoxOutput("kw", width = "33vh")
),
column(
3,
valueBoxOutput("so", width = "33vh"),
valueBoxOutput("auS1", width = "33vh"),
valueBoxOutput("cr", width = "33vh")
),
column(
3,
valueBoxOutput("doc", width = "33vh"),
valueBoxOutput("col", width = "33vh"),
valueBoxOutput("agePerDoc", width = "33vh")
),
column(
3,
valueBoxOutput("cagr", width = "33vh"),
valueBoxOutput("coAuPerDoc", width = "33vh"),
valueBoxOutput("tc", width = "33vh")
),
)
),
tabPanel("Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "MainInfo", width = 700)),
align = "center"
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("MainInfoGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
#) # end div
)
)
),
##### annual scientific production ----
tabItem(
"annualScPr",
fluidPage(
fluidRow(
column(
10,
h3(strong("Annual Scientific Production"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportASP"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "ASPplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
id = "tabsASP",
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "AnnualProdPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("AnnualProdTable"))
)
)
)
)
),
##### average citation per year ----
tabItem(
"averageCitPerYear",
fluidPage(
fluidRow(
column(
10,
h3(strong("Average Citations Per Year"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportACpY"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "ACpYplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "AnnualTotCitperYearPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("AnnualTotCitperYearTable"))
)
)
)
)
),
##### three fields plot ----
tabItem(
"threeFieldPlot",
fluidPage(
fluidRow(
column(
8,
h3(strong("Three-Field Plot"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "apply3F"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTFP"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenTFP"
)))
)
),
div(
style = style_opt,
column(
1,
dropdown(
box(
title = h4(strong("Parameters")),
collapsible = FALSE,
width = 15,
solidHeader = FALSE,
fluidRow(
column(6, selectInput("CentralField",
label = "Middle Field",
choices = c(
"Authors" = "AU",
"Affiliations" = "AU_UN",
"Countries" = "AU_CO",
"Keywords" = "DE",
"Keywords Plus" = "ID",
"All Keywords" = "KW_Merged",
"Titles" = "TI_TM",
"Abstract" = "AB_TM",
"Sources" = "SO",
"References" = "CR",
"Cited Sources" = "CR_SO"
),
selected = "AU"
)),
column(6, numericInput("CentralFieldn",
label = ("Number of items"),
min = 1, max = 50, step = 1, value = 20
))
),
fluidRow(
column(6, selectInput("LeftField",
label = "Left Field",
choices = c(
"Authors" = "AU",
"Affiliations" = "AU_UN",
"Countries" = "AU_CO",
"Keywords" = "DE",
"Keywords Plus" = "ID",
"All Keywords" = "KW_Merged",
"Titles" = "TI_TM",
"Abstract" = "AB_TM",
"Sources" = "SO",
"References" = "CR",
"Cited Sources" = "CR_SO"
),
selected = "CR"
)),
column(6, numericInput("LeftFieldn",
label = ("Number of items"),
min = 1, max = 50, step = 1, value = 20
))
),
fluidRow(
column(6, selectInput("RightField",
label = "Right Field",
choices = c(
"Authors" = "AU",
"Affiliations" = "AU_UN",
"Countries" = "AU_CO",
"Keywords" = "DE",
"Keywords Plus" = "ID",
"All Keywords" = "KW_Merged",
"Titles" = "TI_TM",
"Abstract" = "AB_TM",
"Sources" = "SO",
"References" = "CR",
"Cited Sources" = "CR_SO"
),
selected = "KW_Merged"
)),
column(6, numericInput("RightFieldn",
label = ("Number of items"),
min = 1, max = 50, step = 1, value = 20
))
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel("Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "ThreeFieldsPlot", height = "90vh"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("TFPGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Sources ----
##### relevant sources ----
tabItem(
"relevantSources",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Relevant Sources"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMRSources"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMRS"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MRSplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostRelSourcesK",
label = ("Number of Sources"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelSourcesPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelSourcesTable"))
)
)
)
)
),
##### local cited sources ----
tabItem(
"localCitedSources",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Local Cited Sources"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMLCSources"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMLS"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MLCSplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostRelCitSourcesK",
label = ("Number of Sources"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelCitSourcesPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelCitSourcesTable"))
)
)
)
)
),
##### bradford law ----
tabItem(
"bradford",
fluidPage(
fluidRow(
column(
10,
# titlePanel(
h3(strong("Core Sources by Bradford's Law"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportBradford"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "BLplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "bradfordPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("bradfordTable"))
)
)
)
)
),
##### source local impact ----
tabItem(
"sourceImpact",
fluidPage(
fluidRow(
column(
8,
h3(strong("Sources' Local Impact"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyHsource"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportSI"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "SIplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("HmeasureSources",
label = "Impact measure",
choices = c(
"H-Index" = "h",
"G-Index" = "g",
"M-Index" = "m",
"Total Citation" = "tc"
),
selected = "h"
),
br(),
numericInput("Hksource",
label = ("Number of sources"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "SourceHindexPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "SourceHindexTable"))
)
)
)
)
),
##### sources prod over time ----
tabItem(
"sourceDynamics",
fluidPage(
fluidRow(
column(
8,
h3(strong("Sources' Production over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applySOGrowth"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportSD"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "SDplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("cumSO", "Occurrences",
choices = c(
"Cumulate" = "Cum",
"Per year" = "noCum"
),
selected = "Cum"
),
sliderInput("topSO",
label = "Number of Sources",
min = 1, max = 50, step = 1, value = c(1, 5)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "soGrowthPlot", height = "90vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "soGrowthtable"))
)
)
)
)
),
#### Authors ----
##### most relevant authors ----
tabItem(
"mostRelAuthors",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Relevant Authors"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMRAuthors"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMRA"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MRAplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostRelAuthorsK",
label = ("Number of Authors"),
value = 10
),
selectInput("AuFreqMeasure",
label = "Frequency measure",
choices = c(
"N. of Documents " = "t",
"Percentage" = "p",
"Fractionalized Frequency" = "f"
),
selected = "t"
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelAuthorsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelAuthorsTable"))
)
)
)
)
),
##### most local cited authors ----
tabItem(
"mostLocalCitedAuthors",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Local Cited Authors"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMLCAuthors"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMLCA"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MLCAplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostCitAuthorsK",
label = ("Number of Authors"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitAuthorsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostCitAuthorsTable"))
)
)
)
)
),
##### authors production over time ----
tabItem(
"authorsProdOverTime",
fluidPage(
fluidRow(
column(
8,
h3(strong("Authors' Production over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyAUoverTime"
)))
)
), div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportAPOT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "APOTplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("TopAuthorsProdK",
label = ("Number of Authors"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TopAuthorsProdPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table - Production per Year",
shinycssloaders::withSpinner(DT::DTOutput("TopAuthorsProdTable"))
),
tabPanel(
"Table - Documents",
shinycssloaders::withSpinner(DT::DTOutput("TopAuthorsProdTablePapers"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("ApotGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### lotka law ----
tabItem(
"lotka",
fluidPage(
fluidRow(
column(
10,
h3(strong("Author Productivity through Lotka's Law"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportLotka"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "LLplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "lotkaPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("lotkaTable"))
)
)
)
)
),
##### authors local impact ----
tabItem(
"authorImpact",
fluidPage(
fluidRow(
column(
8,
h3(strong("Authors' Local Impact"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyHAuthors"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportAI"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "AIplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("HmeasureAuthors",
label = "Impact measure",
choices = c(
"H-Index" = "h",
"G-Index" = "g",
"M-Index" = "m",
"Total Citation" = "tc"
),
selected = "h"
),
numericInput("Hkauthor",
label = ("Number of authors"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "AuthorHindexPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "AuthorHindexTable"))
)
)
)
)
),
##### most relevant affiliations ----
tabItem(
"mostRelAffiliations",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Relevant Affiliations"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMRAffiliations"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMRAFF"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "AFFplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("disAff",
label = "Affiliation Name Disambiguation",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "Y"
),
numericInput("MostRelAffiliationsK",
label = ("Number of Affiliations"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelAffiliationsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelAffiliationsTable"))
)
)
)
)
),
##### Affiliation over Time ----
tabItem(
"AffOverTime",
fluidPage(
fluidRow(
column(
8,
h3(strong("Affiliations' Production over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyAFFGrowth"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportAFFPOT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "AffOverTimeplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("topAFF",
label = "Number of Affiliations",
min = 1, max = 50, step = 1, value = 5
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "AffOverTimePlot", height = "90vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "AffOverTimeTable"))
)
)
)
)
),
##### corresponding author country ----
tabItem(
"correspAuthorCountry",
fluidPage(
fluidRow(
column(
8,
h3(strong("Corresponding Author's Countries"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCAUCountries"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMRCO"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MRCOplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostRelCountriesK",
label = ("Number of Countries"),
value = 20, min = 1, max = 50
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelCountriesPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelCountriesTable"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("MostRelCountriesGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### country scientific production ----
tabItem(
"countryScientProd",
fluidPage(
fluidRow(
column(
10,
h3(strong("Countries' Scientific Production"), align = "center")
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCSP"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "CSPplot.save"
)))
)
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "countryProdPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("countryProdTable"))
)
)
)
)
),
##### Country over Time ----
tabItem(
"COOverTime",
fluidPage(
fluidRow(
column(
8,
h3(strong("Countries' Production over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCOGrowth"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCPOT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "CountryOverTimeplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
sliderInput("topCO",
label = "Number of Countries",
min = 1, max = 50, step = 1, value = 5
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "CountryOverTimePlot", height = "90vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CountryOverTimeTable"))
)
)
)
)
),
##### most cited countries ----
tabItem(
"mostCitedCountries",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Cited Countries"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMCCountries"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMCCO"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MCCplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("CitCountriesMeasure",
label = "Measure",
choices = c(
"Total Citations" = "TC",
"Average Article Citations" = "TCY"
),
selected = "TC"
),
numericInput("MostCitCountriesK",
label = ("Number of Countries"),
value = 10
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitCountriesPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostCitCountriesTable"))
)
)
)
)
),
#### Documents ----
##### most global cited documents ----
tabItem(
"mostGlobalCitDoc",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Global Cited Documents"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMGCDocuments"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMCD"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MGCDplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostCitDocsK",
label = ("Number of Documents"),
value = 10
),
selectInput("CitDocsMeasure",
label = "Measure",
choices = c(
"Total Citations" = "TC",
"Total Citations per Year" = "TCY"
),
selected = "TC"
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitDocsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostCitDocsTable"))
)
)
)
)
),
##### most local cited documents ----
tabItem(
"mostLocalCitDoc",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Local Cited Documents"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMLCDocuments"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMLCD"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MLCDplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostLocCitDocsK",
label = ("Number of Documents"),
value = 10
),
selectInput(
inputId = "LocCitSep",
label = "Field separator character",
choices = c(
";" = ";",
". " = ". ",
"," = ","
),
selected = ";"
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostLocCitDocsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostLocCitDocsTable"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("MostLocCitDocsGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### most local cited references ----
tabItem(
"mostLocalCitRef",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Local Cited References"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMLCReferences"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMLCR"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MLCRplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput("MostCitRefsK",
label = ("Number of Documents"),
value = 10
),
selectInput(
inputId = "CitRefsSep",
label = "Field separator character",
choices = c(
";" = ";",
". " = ". ",
"," = ","
),
selected = ";"
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitRefsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostCitRefsTable"))
)
)
)
)
),
##### references spectroscopy ----
tabItem(
"ReferenceSpect",
fluidPage(
fluidRow(
column(
8,
h3(strong("Reference Spectroscopy"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyRPYS"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportRPYS"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "RSplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput(
inputId = "rpysSep",
label = "Field separator character",
choices = c(
";" = ";",
". " = ". ",
"," = ","
),
selected = ";"
),
h4(em(strong("Time slice"))),
fluidRow(
column(
6,
numericInput(
inputId = "rpysMinYear",
label = "Starting Year",
value = NA,
step = 1
)
),
column(
6,
numericInput(
inputId = "rpysMaxYear",
label = "End Year",
value = NA,
step = 1
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "rpysPlot", height = "75vh"))
),
tabPanel(
"Table - RPYS",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "rpysTable"
))
),
tabPanel(
"Table - Cited References",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "crTable"
))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("rpysGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### most frequent words ----
tabItem(
"mostFreqWords",
fluidPage(
fluidRow(
column(
8,
h3(strong("Most Frequent Words"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyMFWords"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportMFW"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "MRWplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("MostRelWords", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.MostRelWords == 'AB' |input.MostRelWords == 'TI'",
selectInput("MRWngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
numericInput("MostRelWordsN", label = "Number of words", min = 2, max = 100, step = 1, value = 10),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("MostRelWordsStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.MostRelWordsStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("MostRelWordsStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("MostRelWordsSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
)
# ,h5(htmlOutput("MostRelWordsStopPreview"))
),
selectInput("MRWSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.MRWSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("MRWSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("MRWSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
)
# ,h5(htmlOutput("MRWSynPreview"))
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelWordsPlot", height = "75vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("MostRelWordsTable"))
)
)
)
)
),
##### word cloud ----
tabItem(
"wcloud",
fluidPage(
fluidRow(
column(
8,
h3(strong("WordCloud"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyWordCloud"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportWC"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenWC"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("summaryTerms", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.summaryTerms == 'AB' |input.summaryTerms == 'TI'",
selectInput("summaryTermsngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
numericInput("n_words", label = "Number of words", min = 10, max = 500, step = 1, value = 50),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("WCStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.WCStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("WCStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("WCSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
)
),
selectInput("WCSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.WCSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("WCSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("WCSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
)
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput("measure", "Word occurrence by",
choices = c(
"Frequency" = "freq",
"Square root" = "sqrt",
"Log" = "log",
"Log10" = "log10"
),
selected = "freq"
)
),
column(
6,
selectInput("wcShape", "Shape",
choices = c(
"Circle" = "circle",
"Cardiod" = "cardioid",
"Diamond" = "diamond",
"Pentagon" = "pentagon",
"Star" = "star",
"Triangle-forward" = "triangle-forward",
"Triangle" = "triangle"
),
selected = "circle"
)
)
),
fluidRow(
column(
6,
selectInput("font",
label = "Font type",
choices = c("Impact",
"Comic Sans MS (No plz!)" = "Comic Sans MS",
"Arial", "Arial Black", "Tahoma", "Verdana", "Courier New",
"Georgia", "Times New Roman", "Andale Mono"
)
)
),
column(
6,
selectInput("wcCol", "Text colors",
choices = c(
"Random Dark" = "random-dark",
"Random Light" = "random-light"
),
selected = "random-dark"
)
)
),
fluidRow(
column(
6,
numericInput("scale", label = "Font size", min = 0.1, max = 5, step = 0.1, value = 0.5)
),
column(
6,
numericInput("ellipticity", label = "Ellipticity", min = 0, max = 1, step = 0.05, value = 0.65)
)
),
fluidRow(
column(
6,
numericInput("padding", label = "Padding", min = 0, max = 5, value = 1, step = 1)
),
column(
6,
numericInput("rotate", label = "Rotate", min = 0, max = 20, value = 0, step = 1)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
wordcloud2::wordcloud2Output("wordcloud", height = "75vh")
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("wordTable"))
)
)
)
)
),
##### tree map ----
tabItem(
"treemap",
fluidPage(
fluidRow(
column(
8,
h3(strong("TreeMap"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyTreeMap"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTREEMAP"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenTREEMAP"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("treeTerms", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.treeTerms == 'AB' |input.treeTerms == 'TI'",
selectInput("treeTermsngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
numericInput("treen_words", label = "Number of words", min = 10, max = 200, step = 5, value = 50),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("TreeMapStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TreeMapStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("TreeMapStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TreeMapSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TreeMapStopPreview"))
),
selectInput("TreeMapSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TreeMapSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("TreeMapSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TreeMapSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TreeMapSynPreview"))
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "treemap", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput("treeTable"))
)
)
)
)
),
##### word dynamics ----
tabItem(
"wordDynamics",
fluidPage(
fluidRow(
column(
8,
h3(strong("Words' Frequency over Time"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyWD"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportWD"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "WDplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("growthTerms", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.growthTerms == 'AB' |input.growthTerms == 'TI'",
selectInput("growthTermsngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("WDStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.WDStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("WDStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("WDSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("WDStopPreview"))
),
selectInput("WDSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.WDSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("WDSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("WDSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("WDSynPreview"))
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("cumTerms", "Occurrences",
choices = c(
"Cumulate" = "Cum",
"Per year" = "noCum"
),
selected = "Cum"
),
sliderInput("topkw",
label = "Number of words",
min = 1, max = 100, step = 1, value = c(1, 10)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "kwGrowthPlot", height = "90vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "kwGrowthtable"))
)
)
)
)
),
##### trend topic ----
tabItem(
"trendTopic",
fluidPage(
fluidRow(
column(
8,
h3(strong("Trend Topics"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyTrendTopics"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "TTplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("trendTerms", "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'",
selectInput("trendTermsngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
conditionalPanel(
condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'",
selectInput("trendStemming",
label = "Word Stemming",
choices = c(
"Yes" = TRUE,
"No" = FALSE
),
selected = FALSE
)
),
uiOutput("trendSliderPY"),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("TTStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TTStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("TTStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TTSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TTStopPreview"))
),
selectInput("TTSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TTSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("TTSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TTSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TTSynPreview"))
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput("trendMinFreq", label = "Word Minimum Frequency", min = 0, max = 100, value = 5, step = 1),
),
column(
6,
numericInput("trendNItems", label = "Number of Words per Year", min = 1, max = 20, step = 1, value = 3)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "trendTopicsPlot", height = "90vh", width = "98.9%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "trendTopicsTable"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("trendTopicsGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Clustering by Coupling ----
tabItem(
"coupling",
fluidPage(
fluidRow(
column(
8,
h3(strong("Clustering by Coupling"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCM"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCM"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "CMplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("CManalysis",
label = "Unit of Analysis",
choices = c(
"Documents" = "documents",
"Authors" = "authors",
"Sources" = "sources"
),
selected = "documents"
),
" ",
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE,
collapsed = FALSE,
selectInput("CMfield",
label = "Coupling measured by",
choices = c(
"References" = "CR",
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "CR"
),
conditionalPanel(
condition = "input.CMfield == 'TI' | input.CMfield == 'AB'",
selectInput("CMstemming",
label = "Word Stemming",
choices = c(
"Yes" = TRUE,
"No" = FALSE
),
selected = FALSE
)
),
selectInput("CMimpact",
label = "Impact measure",
choices = c(
"Local Citation Score" = "local",
"Global Citation Score" = "global"
),
selected = "local"
),
selectInput("CMlabeling",
label = "Cluster labeling by",
choices = c(
"None" = "none",
"Keyword Plus" = "ID",
"Authors' keywords" = "DE",
"Title terms" = "TI",
"Abstract terms" = "AB"
),
selected = "DE"
),
conditionalPanel(
condition = "input.CMlabeling == 'TI' | input.CMlabeling == 'AB'",
selectInput("CMngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
fluidRow(
column(
6,
numericInput("CMn", label = "Number of Units\n ", value = 250, min = 50, max = 5000, step = 1)
),
column(
6,
numericInput("CMfreq", label = "Min Cluster Freq. ", value = 5, min = 1, max = 100, step = 1)
)
),
fluidRow(
column(
6,
numericInput("CMn.labels", label = "Labels per cluster", value = 3, min = 1, max = 10, step = 1)
),
column(
6,
numericInput("sizeCM", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
)
),
fluidRow(
column(
6,
numericInput("CMrepulsion", label = "Community Repulsion", value = 0, min = 0, max = 1, step = 0.01)
),
column(
6,
selectInput("CMcluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "CMPlot", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("CMNetPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CMTable"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CMTableCluster"))
)
)
)
)
),
#### Conceptual Structure ----
##### co-occurrence network ----
tabItem(
"coOccurenceNetwork",
fluidPage(
fluidRow(
column(
8,
h3(strong("Co-occurrence Network"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCoc"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCOC"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenCOC"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("field",
"Field",
choices = c(
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.field == 'TI' | input.field == 'AB'",
selectInput("cocngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
br(),
materialSwitch(
inputId = "noOverlap",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("COCStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.COCStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("COCStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("COCSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("COCStopPreview"))
),
selectInput("COCSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.COCSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("COCSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("COCSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("COCSynPreview"))
)
),
br(),
box(
title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput("layout",
label = "Network Layout",
choices = c(
"Automatic layout" = "auto",
"Circle" = "circle",
"Fruchterman & Reingold" = "fruchterman",
"Kamada & Kawai" = "kamada",
"MultiDimensional Scaling" = "mds",
"Sphere" = "sphere",
"Star" = "star"
),
selected = "auto"
)
),
column(
6,
selectInput("cocCluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
),
fluidRow(
column(
6,
selectInput("normalize",
label = "Normalization",
choices = c(
"none",
"association",
"jaccard",
"salton",
"inclusion",
"equivalence"
),
selected = "association"
)
),
column(
6,
selectInput("cocyears",
label = "Node Color by Year",
choices = c(
"No" = "No",
"Yes" = "Yes"
),
selected = "No"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "Nodes",
label = "Number of Nodes",
min = 5,
max = 1000,
value = 50,
step = 1
)
),
column(
6,
numericInput(
inputId = "coc.repulsion",
label = "Repulsion Force",
min = 0,
max = 1,
value = 0.1,
step = 0.1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "coc.isolates",
label = "Remove Isolated Nodes",
choices = c(
"Yes" = "yes",
"No" = "no"
),
selected = "yes"
)
),
column(
6,
numericInput("edges.min",
label = ("Minimum Number of Edges"),
value = 2,
step = 1,
min = 0
)
)
)
),
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput(
inputId = "cocAlpha",
label = "Opacity",
min = 0,
max = 1,
value = 0.7,
step = 0.05
)
),
column(
6,
numericInput(
inputId = "Labels",
label = "Number of labels",
min = 0,
max = 1000,
value = 1000,
step = 1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "label.cex",
label = "Label cex",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "coc.shape",
label = "Node Shape",
choices = c(
"Box" = "box",
"Circle" = "circle",
"Dot" = "dot",
"Ellipse" = "ellipse",
"Square" = "square",
"Text" = "text"
),
selected = "dot"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "labelsize",
label = "Label size",
min = 0.0,
max = 20,
value = 3,
step = 0.10
)
),
column(
6,
numericInput(
inputId = "edgesize",
label = "Edge size",
min = 0.0,
max = 20,
value = 5,
step = 0.5
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "coc.shadow",
label = "Node shadow",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "coc.curved",
label = "Edit Nodes",
choices = c(
"Yes",
"No"
),
selected = "No"
)
)
)
),
br(),
fluidRow(
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "network.coc", label = ("Pajek"),
style = "pill", color = "primary"
)
)
),
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "networkCoc.fig", label = ("HTML"),
style = "pill", color = "primary"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("cocPlot", height = "75vh"))
),
tabPanel(
"Density",
shinycssloaders::withSpinner(plotlyOutput(outputId = "cocOverlay", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "cocTable"
))
),
tabPanel(
"Degree Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "cocDegree", height = "75vh"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("cocGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### thematic map ----
tabItem(
"thematicMap",
fluidPage(
fluidRow(
column(
8,
h3(strong("Thematic Map"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyTM"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTM"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "TMplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("TMfield",
label = "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.TMfield == 'TI' | input.TMfield == 'AB'",
selectInput("TMngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
conditionalPanel(
condition = "input.TMfield == 'TI' | input.TMfield == 'AB'",
selectInput("TMstemming",
label = "Word Stemming",
choices = c(
"Yes" = TRUE,
"No" = FALSE
),
selected = FALSE
)
),
br(),
materialSwitch(
inputId = "noOverlapTM",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("TMStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TMStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("TMStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TMSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TMStopPreview"))
),
selectInput("TMapSynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TMapSynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("TMapSyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TMapSynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TMapSynPreview"))
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput("TMn", label = "Number of Words", value = 250, min = 50, max = 5000, step = 1)
),
column(
6,
numericInput("TMfreq", label = "Min Cluster Frequency (per thousand docs)", value = 5, min = 1, max = 100, step = 1)
)
),
fluidRow(
column(
6,
numericInput("TMn.labels", label = "Number of Labels", value = 3, min = 0, max = 10, step = 1)
),
column(
6,
numericInput("sizeTM", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
)
),
fluidRow(
column(
6,
numericInput("TMrepulsion", label = "Community Repulsion", value = 0, min = 0, max = 1, step = 0.01)
),
column(
6,
selectInput("TMCluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("TMGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### thematic evolution ----
tabItem(
"thematicEvolution",
fluidPage(
fluidRow(
column(
8,
h3(strong("Thematic Evolution"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyTE"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportTE"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "TEplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("TEfield",
label = "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.TEfield == 'TI' | input.TEfield == 'AB'",
selectInput("TEngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
br(),
materialSwitch(
inputId = "noOverlapTE",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("TEStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TEStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("TEStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TESep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TEStopPreview"))
),
selectInput("TESynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.TESynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("TESyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("TESynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("TESynPreview"))
)
),
br(),
box(
title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput("nTE", label = "Number of Words", value = 250, min = 50, max = 5000, step = 1)
),
column(
6,
numericInput("fTE", label = "Min Cluster Frequency (per thousand docs)", value = 5, min = 1, max = 100, step = 1)
)
),
fluidRow(
column(
6,
selectInput("TEmeasure",
label = "Weight index",
choices = c(
"Inclusion Index" = "inclusion",
"Inclusion Index weighted by Word-Occurrences" = "weighted",
"Stability Index" = "stability"
),
selected = "weighted"
)
),
column(
6,
numericInput("minFlowTE", label = "Min Weight Index", value = 0.1, min = 0.02, max = 1, step = 0.02)
)
),
fluidRow(
column(
6,
numericInput("sizeTE", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
),
column(
6,
numericInput("TEn.labels", label = "Number of Labels (for each cluster)", value = 3, min = 1, max = 5, step = 1)
)
),
fluidRow(column(
12,
selectInput("TECluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
))
),
br(),
box(
title = p(strong("Time Slices"), style = "font-size:16px;color:black;"),
collapsible = FALSE, width = 15,
solidHeader = FALSE, collapsed = FALSE,
numericInput("numSlices", label = "Number of Cutting Points", min = 1, max = 4, value = 1),
"Please, write the cutting points (in year) for your collection",
uiOutput("sliders")
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Thematic Evolution",
tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(visNetworkOutput(outputId = "TEPlot", height = "75vh", width = "100%"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TETable"))
)
)
),
tabPanel("Time Slice 1", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot1", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot1", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable1"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster1"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument1"))
)
)),
tabPanel("Time Slice 2", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot2", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot2", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable2"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster2"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument2"))
)
)),
tabPanel("Time Slice 3", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot3", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot3", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable3"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster3"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument3"))
)
)),
tabPanel("Time Slice 4", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot4", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot4", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable4"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster4"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument4"))
)
)),
tabPanel("Time Slice 5", tabsetPanel(
type = "tabs",
tabPanel(
"Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot5", height = "75vh"))
),
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("NetPlot5", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable5"))
),
tabPanel(
"Clusters",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster5"))
),
tabPanel(
"Documents",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument5"))
)
)),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("TEGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### factorial analysis ----
tabItem(
"factorialAnalysis",
fluidPage(
fluidRow(
column(
8,
h3(strong("Factorial Analysis"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCA"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportFA"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "FAplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("method",
label = "Method",
choices = c(
"Correspondence Analysis" = "CA",
"Multiple Correspondence Analysis" = "MCA",
"Multidimensional Scaling" = "MDS"
),
selected = "MCA"
),
selectInput("CSfield",
label = "Field",
choices = c(
"Keywords Plus" = "ID",
"Author's Keywords" = "DE",
"All Keywords" = "KW_Merged",
"Titles" = "TI",
"Abstracts" = "AB"
),
selected = "KW_Merged"
),
conditionalPanel(
condition = "input.CSfield == 'TI' | input.CSfield == 'AB'",
selectInput("CSngrams", "N-Grams",
choices = c(
"Unigrams" = "1",
"Bigrams" = "2",
"Trigrams" = "3"
),
selected = 1
)
),
br(),
box(
title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
selectInput("CSStopFile", "Load a list of terms to remove",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.CSStopFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
),
fileInput("CSStop", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("CSSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("CSStopPreview"))
),
selectInput("FASynFile", "Load a list of synonyms",
choices = c(
"Yes" = "Y",
"No" = "N"
),
selected = "N"
),
conditionalPanel(
condition = "input.FASynFile == 'Y'",
helpText(
h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
Rows have to be separated by return separator."))
),
fileInput("FASyn", "",
multiple = FALSE,
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv",
".txt"
)
),
selectInput("FASynSep", "File Separator",
choices = c(
'Comma ","' = ",",
'Semicolon ";"' = ";",
"Tab " = "\t"
),
selected = ","
),
# h5(htmlOutput("FASynPreview"))
)
),
br(),
box(
title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput("CSn",
label = ("Number of terms"),
value = 50, step = 1
)
),
column(
6,
selectInput("nClustersCS",
label = "N. of Clusters",
choices = c(
"1" = "1",
"2" = "2",
"3" = "3",
"4" = "4",
"5" = "5",
"6" = "6",
"7" = "7",
"8" = "8"
),
selected = "1"
)
)
)
),
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput(
inputId = "CSlabelsize",
label = "Label size",
min = 5,
max = 30,
value = 10
)
),
column(
6,
numericInput("CSdoc",
label = ("Num. of documents"),
value = 5
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Word Map",
shinycssloaders::withSpinner(plotlyOutput(outputId = "CSPlot1", height = "75vh", width = "98.9%"))
),
tabPanel(
"Topic Dendrogram",
shinycssloaders::withSpinner(visNetworkOutput("CSPlot4", width = "auto", height = "75vh"))
),
# tabPanel("Most Contributing Papers",
# shinycssloaders::withSpinner(plotOutput(
# outputId = "CSPlot2"))),
# tabPanel("Most Cited Papers",
# shinycssloaders::withSpinner(plotOutput(
# outputId = "CSPlot3"))),
tabPanel(
"Words by Cluster",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CSTableW"))
),
tabPanel(
"Articles by Cluster",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "CSTableD"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("CSGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Intellectual Structure ----
##### co-citation network ----
tabItem(
"coCitationNetwork",
fluidPage(
fluidRow(
column(
8,
h3(strong("Co-citation Network"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCocit"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCOCIT"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenCOCIT"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("citField",
label = "Field",
choices = c(
"Papers" = "CR",
"Authors" = "CR_AU",
"Sources" = "CR_SO"
),
selected = "CR"
),
selectInput(
inputId = "citSep",
label = "Field separator character",
choices = c(
'";" (Semicolon)' = ";",
'". " (Dot and 3 or more spaces)' = ". ",
'"," (Comma)' = ","
),
selected = "';'"
),
br(),
materialSwitch(
inputId = "citNoOverlap",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput("citlayout",
label = "Network Layout",
choices = c(
"Automatic layout" = "auto",
"Circle" = "circle",
"Fruchterman & Reingold" = "fruchterman",
"Kamada & Kawai" = "kamada",
"MultiDimensional Scaling" = "mds",
"Sphere" = "sphere",
"Star" = "star"
),
selected = "auto"
)
),
column(
6,
selectInput("cocitCluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "citNodes",
label = "Number of Nodes",
min = 5,
max = 1000,
value = 50,
step = 1
)
),
column(
6,
numericInput(
inputId = "cocit.repulsion",
label = "Repulsion Force",
min = 0,
max = 1,
value = 0.1,
step = 0.1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "cit.isolates",
label = "Remove Isolated Nodes",
choices = c(
"Yes" = "yes",
"No" = "no"
),
selected = "yes"
)
),
column(
6,
numericInput("citedges.min",
label = ("Minimum Number of Edges"),
value = 2,
step = 1,
min = 0
)
)
)
),
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput(
inputId = "citShortlabel",
label = "Short Label",
choices = c(
"Yes",
"No"
),
selected = "Yes"
),
),
column(
6,
numericInput(
inputId = "citLabels",
label = "Number of labels",
min = 0,
max = 1000,
value = 1000,
step = 1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "citlabel.cex",
label = "Label cex",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "cocit.shape",
label = "Node Shape",
choices = c(
"Box" = "box",
"Circle" = "circle",
"Dot" = "dot",
"Ellipse" = "ellipse",
"Square" = "square",
"Text" = "text"
),
selected = "dot"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "citlabelsize",
label = "Label size",
min = 0.0,
max = 20,
value = 2,
step = 0.10
)
),
column(
6,
numericInput(
inputId = "citedgesize",
label = "Edge size",
min = 0.5,
max = 20,
value = 2,
step = 0.5
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "cocit.shadow",
label = "Node shadow",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "cocit.curved",
label = "Edit Nodes",
choices = c(
"Yes",
"No"
),
selected = "No"
)
)
)
),
br(),
fluidRow(
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "network.cocit", label = ("Pajek"),
style = "pill", color = "primary"
)
)
),
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "networkCocit.fig", label = ("HTML"),
style = "pill", color = "primary"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("cocitPlot", height = "75vh"))
),
tabPanel(
"Density",
shinycssloaders::withSpinner(plotlyOutput(outputId = "cocitOverlay", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "cocitTable"
))
),
tabPanel(
"Degree Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "cocitDegree", height = 700))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("cocitGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### historiograph ----
tabItem(
"historiograph",
fluidPage(
fluidRow(
column(
8,
h3(strong("Historiograph"), align = "center")
),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyHist"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportHIST"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenHIST"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
numericInput(
inputId = "histNodes",
label = "Number of Nodes",
min = 5,
max = 100,
value = 20,
step = 1
),
" ",
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE,
collapsed = FALSE,
selectInput(
inputId = "titlelabel",
label = "Node label",
choices = c(
"Short id (1st Author, Year)" = "short",
"Document Title" = "title",
"Authors' Keywords" = "keywords",
"Keywords Plus" = "keywordsplus"
),
selected = "short"
),
selectInput(
inputId = "hist.isolates",
label = "Remove Isolated Nodes",
choices = c(
"Yes" = "yes",
"No" = "no"
),
selected = "yes"
),
fluidRow(
column(
6,
numericInput(
inputId = "histlabelsize",
label = "Label size",
min = 0.0,
max = 20,
value = 3, step = 1
)
),
column(
6,
numericInput(
inputId = "histsize",
label = "Node size",
min = 0,
max = 20,
value = 2, step = 1
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("histPlotVis", height = "80vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "histTable"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("histGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Social Structure ----
##### collaboration network ----
tabItem(
"collabNetwork",
fluidPage(
fluidRow(
column(8, h3(strong("Collaboration Network"), align = "center")),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyCol"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCOL"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("actionBttn", c(export_bttn, list(
inputId = "screenCOL"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
selectInput("colField",
label = "Field",
choices = c(
"Authors" = "COL_AU",
"Institutions" = "COL_UN",
"Countries" = "COL_CO"
),
selected = "COL_AU"
),
br(),
materialSwitch(
inputId = "colNoOverlap",
label = "Avoid Label Overlap",
value = TRUE,
status = "primary"
),
br(),
box(
title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
selectInput("collayout",
label = "Network Layout",
choices = c(
"Automatic layout" = "auto",
"Circle" = "circle",
"Fruchterman & Reingold" = "fruchterman",
"Kamada & Kawai" = "kamada",
"MultiDimensional Scaling" = "mds",
"Sphere" = "sphere",
"Star" = "star"
),
selected = "auto"
)
),
column(
6,
selectInput("colCluster",
label = "Clustering Algorithm",
choices = c(
"None" = "none",
"Edge Betweenness" = "edge_betweenness",
# "Fast Greedy" = "fast_greedy",
"InfoMap" = "infomap",
"Leading Eigenvalues" = "leading_eigen",
"Leiden" = "leiden",
"Louvain" = "louvain",
"Spinglass" = "spinglass",
"Walktrap" = "walktrap"
),
selected = "walktrap"
)
)
),
fluidRow(column(
6,
selectInput("colnormalize",
label = "Normalization",
choices = c(
"none",
"association",
"jaccard",
"salton",
"inclusion",
"equivalence"
),
selected = "association"
)
)),
fluidRow(
column(
6,
numericInput(
inputId = "colNodes",
label = "Number of Nodes",
min = 5,
max = 1000,
value = 50,
step = 1
)
),
column(
6,
numericInput(
inputId = "col.repulsion",
label = "Repulsion Force",
min = 0,
max = 1,
value = 0.1,
step = 0.1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "col.isolates",
label = "Remove Isolated Nodes",
choices = c(
"Yes" = "yes",
"No" = "no"
),
selected = "yes"
)
),
column(
6,
numericInput("coledges.min",
label = ("Minimum Number of Edges"),
value = 1,
step = 1,
min = 0
)
)
)
),
br(),
box(
title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
collapsible = TRUE, width = 15,
solidHeader = FALSE, collapsed = TRUE,
fluidRow(
column(
6,
numericInput(
inputId = "colAlpha",
label = "Opacity",
min = 0,
max = 1,
value = 0.7,
step = 0.05
)
),
column(
6,
numericInput(
inputId = "colLabels",
label = "Number of labels",
min = 0,
max = 1000,
value = 1000,
step = 1
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "collabel.cex",
label = "Label cex",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "col.shape",
label = "Node Shape",
choices = c(
"Box" = "box",
"Circle" = "circle",
"Dot" = "dot",
"Ellipse" = "ellipse",
"Square" = "square",
"Text" = "text"
),
selected = "dot"
)
)
),
fluidRow(
column(
6,
numericInput(
inputId = "collabelsize",
label = "Label size",
min = 0.0,
max = 20,
value = 2,
step = 0.10
)
),
column(
6,
numericInput(
inputId = "coledgesize",
label = "Edge size",
min = 0.5,
max = 20,
value = 5,
step = 0.5
)
)
),
fluidRow(
column(
6,
selectInput(
inputId = "col.shadow",
label = "Node shadow",
choices = c(
"Yes",
"No"
),
selected = "Yes"
)
),
column(
6,
selectInput(
inputId = "soc.curved",
label = "Edit Nodes",
choices = c(
"Yes",
"No"
),
selected = "No"
)
)
)
),
br(),
fluidRow(
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "network.col", label = ("Pajek"),
style = "pill", color = "primary"
)
)
),
column(
6,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
width = "100%",
downloadBttn(
outputId = "networkCol.fig", label = ("HTML"),
style = "pill", color = "primary"
)
)
)
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Network",
shinycssloaders::withSpinner(visNetworkOutput("colPlot", height = "75vh"))
),
tabPanel(
"Density",
shinycssloaders::withSpinner(plotlyOutput(outputId = "colOverlay", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(outputId = "colTable"))
),
tabPanel(
"Degree Plot",
shinycssloaders::withSpinner(plotlyOutput(outputId = "colDegree", height = "75vh"))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("colGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
##### collaboration world map ----
tabItem(
"collabWorldMap",
fluidPage(
fluidRow(
column(8, h3(strong("Countries' Collaboration World Map"), align = "center")),
div(
style = style_bttn,
title = t_run,
column(
1,
do.call("actionBttn", c(run_bttn, list(
inputId = "applyWM"
)))
)
),
div(
style = style_bttn,
title = t_report,
column(
1,
do.call("actionBttn", c(report_bttn, list(
inputId = "reportCOLW"
)))
)
),
div(
style = style_bttn,
title = t_export,
column(
1,
do.call("downloadBttn", c(export_bttn, list(
outputId = "CCplot.save"
)))
)
),
div(
column(
1,
dropdown(
h4(strong("Options: ")),
br(),
h4(strong("Method Parameters: ")),
" ",
numericInput("WMedges.min",
label = ("Min edges"),
value = 2,
step = 1
),
" ",
br(),
h4(strong("Graphical Parameters: ")),
" ",
numericInput(
inputId = "WMedgesize",
label = "Edge size",
min = 0.1,
max = 20,
value = 5
),
right = TRUE, animate = TRUE, circle = TRUE,
style = "gradient",
tooltip = tooltipOptions(title = "Options"),
color = "primary",
icon = icon("sliders"),
width = "300px"
)
),
style = style_opt
)
),
fluidRow(
tabsetPanel(
type = "tabs",
tabPanel(
"Plot",
# shinycssloaders::withSpinner(plotOutput(outputId = "WMPlot"))
shinycssloaders::withSpinner(plotlyOutput(outputId = "WMPlot", height = "75vh"))
),
tabPanel(
"Table",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "WMTable"
))
),
tabPanel(
title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
fluidPage(
fluidRow(
column(
12,
br(),
shinycssloaders::withSpinner(htmlOutput("WMGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
image = "ai_small2.gif", color = "#466fc4")
)
)
)
)
)
)
)
),
#### Report ----
tabItem(
"report",
fluidPage(
fluidRow(
h3(strong("Report"), align = "center"),
br(),
),
fluidRow(
column(6,
offset = 1,
box(
title = strong("Select results to include in the Report",
style = "font-size:20px;color:white;"
),
status = "primary", width = 11, solidHeader = TRUE,
tags$style(HTML("
.box.box-solid.box-primary>.box-header {
background:#4379cd;
}
.box.box-solid.box-primary{
border-bottom-color:black;
border-left-color:black;
border-right-color:black;
border-top-color:black;
border-width:2px;
}")),
uiOutput("reportSheets"),
tags$style("#reportSheets {font-size:18px;}")
)
), # column(1),
column(
2,
div(
style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
align = "center",
# width="100%",
actionBttn(
inputId = "allSheets",
label = strong("Select All"),
icon = icon("ok-circle", lib = "glyphicon"),
style = "pill", color = "primary",
block = TRUE
),
# tags$style("#allSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"),
br(),
actionBttn(
inputId = "noSheets",
label = strong("Deselect All"),
icon = icon("remove-circle", lib = "glyphicon"),
style = "pill", color = "primary",
block = TRUE
),
# tags$style("#noSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"),
# tags$style("#deleteAll {border-width: 3px;}"),
br(),
hr(),
downloadBttn(
outputId = "report.save",
label = strong("Export Report"),
style = "pill", color = "success",
size = "md",
block = TRUE,
no_outline = TRUE,
icon = icon(name = "download-alt", lib = "glyphicon")
), # , tags$style("#report.save {border-width: 3px;}")
br(),
hr(),
actionBttn(
inputId = "deleteAll",
label = strong("Delete Report"),
icon = icon("exclamation-sign", lib = "glyphicon"),
style = "pill", color = "danger",
block = TRUE
)
)
)
)
)
),
#### TALL Export ----
tabItem(
"tall",
fluidPage(
fluidRow(
h3(strong("TALL - Text Analysis for All"), align = "center"),
br()
),
fluidRow(
column(
8,
fluidRow(
column(
4,
div(img(src = "tall_logo.jpg", height = "90%", width = "90%"), style = "text-align: center;")
),
column(
8,
HTML(
"<div style='text-align: center;'>
<p style='font-size: 16px;max-width: 1400px; margin: auto; text-align: justify;'>
<strong>Biblioshiny</strong> now includes a dedicated export tool that allows you to prepare and extract textual data (Titles, Abstracts, and Keywords) from your bibliographic collection in a format ready to be used in TALL.
<br><br>
<strong>TALL</strong> is a user-friendly R Shiny application designed to support researchers in performing textual data analysis without requiring advanced programming skills.
<br><br>
<strong>TALL</strong> offers a comprehensive workflow for data cleaning, pre-processing, statistical analysis, and visualization of textual data, by combining state-of-the-art text analysis techniques into an R Shiny app.
<br><br>
<strong>TALL</strong> includes a wide set of methodologies specifically tailored for various text analysis tasks. It aims to address the needs of researchers without extensive programming skills, providing a versatile and general-purpose tool for analyzing textual data. With TALL, researchers can leverage a wide range of text analysis techniques without the burden of extensive programming knowledge, enabling them to extract valuable insights from textual data in a more efficient and accessible manner.
<br><br>
Learn more at: <a href='https://www.tall-app.com' target='_blank'>www.tall-app.com</a>
</p>
</div>"
)
)
),
fluidRow(
shinycssloaders::withSpinner(DT::DTOutput(outputId = "tallTable"))
)
),
column(
4,
fluidRow(
box(
width = 12,
div(h3(strong(em("Export a corpus for TALL"))), style = "margin-top:-57px"),
hr(),
helpText(h4("Select textual metadata:")),
multiInput(
inputId = "tallFields",
label = NULL,
choiceNames = "",
choiceValues = "",
width = "100%"
),
hr(),
helpText(h4("Select additional metadata:")),
multiInput(
inputId = "tallMetadata",
label = NULL,
choiceNames = "",
choiceValues = "",
width = "100%"
),
hr(),
div(
fluidRow(
column(
6,
div(
style = style_bttn, align = "center",
title = t_run,
# column(1,
do.call("actionBttn", c(run_bttn, list(
inputId = "tallRun"
)))
)
),
column(
6,
div(
style = style_bttn, align = "center",
title = t_export,
do.call("downloadBttn", c(export_bttn, list(
outputId = "tall.save"
)))
)
)
),
style = "margin-top:-15px"
),
hr(),
helpText("Select at least one textual field to export, click 'Play' to generate the dataset, then save and import it into TALL.", style = "font-size: 16px"),
uiOutput("tallBttn1"),
uiOutput("tallBttn2")
# fluidRow(
# # column(6,
# # uiOutput("tallBttn1")),
# # column(6,
# # uiOutput("tallBttn2"))
# )
)
)
)
)
)
),
#### Settings ----
tabItem(
"settings",
fluidPage(
fluidRow(
h3(strong("Settings"), align = "center"),
br()
),
fluidRow(column(
6,
h3("Plot settings:"),
br(),
sliderTextInput(
inputId = "dpi",
label = "Please select the desired DPI",
grid = TRUE,
force_edges = TRUE,
choices = c("75", "150", "300", "600"),
width = "70%",
selected = "300"
),
br(),
sliderTextInput(
inputId = "h",
label = "Please select the desired heigth in inches",
grid = TRUE,
force_edges = TRUE,
width = "70%",
choices = seq(5, 15),
selected = "7"
)
), column(
6
### To insert settings for default path, etc.
)),
hr(),
h3("'Biblio AI' Api Key"),
h4("Set a valid API Key to use 'Biblio AI' features powered by Google Gemini."),
h5(HTML(
'If you don’t have one yet, you can generate it by logging into <a href="https://aistudio.google.com/app/apikey" target="_blank">AI Studio</a> with your Google account and creating a new API Key.'
)),
br(),
fluidRow(
column(4,
passwordInput("api_key", "Enter your Gemini API Key:", "", width = "100%"),
uiOutput("apiStatus"),
br(),
fluidRow(
column(6,
actionButton("set_key", "Set API Key",style = "color:white;", width = "90%")
),
column(6,
actionButton("remove_key", "Remove API Key",style = "color:white;",width = "90%")
)
)),
column(2),
column(4,
uiOutput("geminiModelChoice")#, style = "color: red; font-weight: bold;")
)
)
# br(),
)
)
)
)
## UI ####
ui <- shinydashboardPlus::dashboardPage(
# shinyjs::useShinyjs(),
header = header,
sidebar = sidebar,
body = body,
# controlbar = controlbar,
footer = NULL,
options = list(sidebarExpandOnHover = TRUE),
scrollToTop = TRUE
)
# END ----
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.