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$img(src="logo2.jpg", height = '40',width='40')),
strong("bibliometrix")
)
intro <- 'https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html'
importData <- 'https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html'
slides <- 'https://bibliometrix.org/biblioshiny/assets/player/KeynoteDHTMLPlayer.html#0'
donation <- 'https://www.bibliometrix.org/home/index.php/donation'
bibliometrixWeb <- 'https://www.bibliometrix.org/'
k_synth <- 'https://www.k-synth.unina.it'
github_aria <- 'https://github.com/massimoaria/bibliometrix'
style_opt <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (option button)
style_bttn <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (action buttons)
t_report <- "Add Results to the Report"
t_export <- "Export Plot as PNG"
t_run <- "Run the Analysis"
run_bttn <- list(
label = NULL,
style = "material-circle",
color = "primary",
icon = icon(name ="play", lib="glyphicon")
)
report_bttn <- list(
label = NULL,
style = "material-circle",
color = "primary",
icon = icon(name ="plus", lib="glyphicon")
)
export_bttn <- list(
label=NULL,
style = "material-circle",
color = "primary",
icon = icon(name ="download", lib="glyphicon")
)
## load content of Info page
info <- helpContent()$info
## 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")),
menuItem("Data",tabName = "uploadData",icon = fa_i(name = "file-import"),
menuSubItem("Load Data", tabName = "loadData",icon = icon("chevron-right",lib = "glyphicon")),
menuSubItem("Gathering Data", tabName = "gathData",icon = icon("chevron-right",lib = "glyphicon"))),
menuItemOutput ("rest_of_sidebar")
),
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", $(this).attr("data-value"));
});
});
'
)),
tabItems(
#### Homepage ----
##### home ----
tabItem("biblioshinyy",
fluidPage(
fluidRow(
column(12,
div(h1("biblioshiny: the shiny app for bibliometrix",
style="text-align:center; font-size:50px;")),
br()
),
column(12,
div(img(src = "logo.jpg", height = "35%",width = "35%"), style="text-align: center;")
),
column(12,
div(p("For an introduction and live examples, visit the ",
em(a("bibliometrix website.",
href = "https://www.bibliometrix.org", target="_blank")),
style="text-align:center; font-size:18px;")),
br(),
hr()
),
column(12,
div(h6("biblioshiny and bibliometrix are open-source and freely available for use, distributed under the MIT license.",
style="text-align:center; font-size:19px;")),
div(h6("When they are used in a publication, we ask that authors to cite the following reference:",
style="text-align:center; font-size:19px;")),
br(),
div(h6("Aria, M., & Cuccurullo, C. (2017).", strong(" bibliometrix: An R-tool for comprehensive"),
style="text-align:center; font-size:19px;")),
div(h6(strong("science mapping analysis."),
em("Journal of Informetrics"),", 11(4), 959-975.",
style="text-align:center; font-size:19px;")),
br(),
div(h6("Failure to properly cite the software is considered a violation of the license.",
style="text-align:center; font-size:19px;"))
)
)
)
),
tabItem("info",
fluidPage(
fluidRow(
column(1),
column(10,
HTML(info),
div(img(src = "table_DBformats.jpg", height = "70%",width = "70%"), style="text-align: center;")
),
column(1)
)
)),
#### Data ----
##### load Data ----
tabItem("loadData",
fluidPage(
fluidRow(
div(
tags$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,
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$hr(),
uiOutput("textLog"),
tags$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"))))
)
)
)
)
)
),
#### 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(
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")
)
)
)
),
##### 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",
"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",
"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",
"Titles" = "TI_TM",
"Abstract" = "AB_TM",
"Sources" = "SO",
"References" = "CR",
"Cited Sources" = "CR_SO"),
selected = "DE")),
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(
shinycssloaders::withSpinner(plotlyOutput(outputId = "ThreeFieldsPlot", height = "90vh"))
)
)
),
#### 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"))
)
)
)
)
),
##### 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"))
)
)
)
)
),
##### 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"))
)
)
)
)
),
##### 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 - RPY",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "rpysTable"))),
tabPanel("Table - Cited References",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "crTable")))
)
)
)
),
##### 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",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"),
selected = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"),
selected = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"),
selected = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB"),
selected = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB"),
selected = "ID"),
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"))
)
)
)
)
),
#### 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 = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"),
selected = "ID"),
conditionalPanel(condition = "input.field == 'TI' | input.field == 'AB'",
selectInput("cocngrams",'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("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")))
)
)
)
),
##### 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",
"Titles" = "TI",
"Abstracts" = "AB"),
selected = "ID"),
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(),
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"))
)
)
)
)
),
##### 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",
"Titles" = "TI",
"Abstracts
" = "AB"),
selected = "ID"),
conditionalPanel(condition = "input.TEfield == 'TI' | input.TEfield == 'AB'",
selectInput("TEngrams",'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("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(plotlyOutput(outputId = "TEPlot", height = "75vh"))
),
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"))
)
)
)
)
)
)
),
##### 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",
"Titles" = "TI",
"Abstracts" = "AB"),
selected = "ID"),
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")))
)
)
)
),
#### 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(),
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)))
)
)
)
),
##### 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 = 4, 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")))
)
)
)
),
#### 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(),
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")))
)
)
)
),
##### 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")))
)
)
)
),
#### 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$style("#report.save {border-width: 3px;}")
br(),
hr(),
actionBttn(
inputId = 'deleteAll',
label = strong('Delete Report'),
icon = icon("exclamation-sign", lib="glyphicon"),
style = "pill", color = "danger",
block = TRUE
)
)
)
)
)
),
#### Settings ----
tabItem("settings",
fluidPage(
fluidRow(
h3(strong("Settings"), align="center"),
br()
),
fluidRow(column(6,
h3("Plot settings:"),
br(),
sliderTextInput(
inputId = "dpi",
label = "Please select the desired DPI",
grid = TRUE,
force_edges = TRUE,
choices = c("75", "150", "300", "600"),
width = "70%",
selected = "300"
),
br(),
sliderTextInput(
inputId = "h",
label = "Please select the desired heigth in inches",
grid = TRUE,
force_edges = TRUE,
width = "70%",
choices = seq(5,15),
selected = "7"
)
), column(6
### To insert settings for default path, etc.
)
)
)
)
)
)
## Control Bar ####
# controlbar <- shinydashboardPlus::dashboardControlbar(id = "controlbar2",
# uiOutput("controlbar"),
# skin = "light",
# width = 350,
# overlay = FALSE,
# collapsed = TRUE,
# shinyjs::useShinyjs()
# )
## UI ####
ui <- shinydashboardPlus::dashboardPage(
#shinyjs::useShinyjs(),
header = header,
sidebar = sidebar,
body = body,
#controlbar = controlbar,
footer = NULL,
options = list(sidebarExpandOnHover = TRUE),
scrollToTop =TRUE
)
# END ----
massimoaria/bibliometrix documentation built on May 4, 2024, 8:49 p.m.
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source("libraries.R", local=TRUE)
source("helpContent.R", local=TRUE)
suppressMessages(libraries())
# UI components ----
## Title ----
mytitle <- tags$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
info <- helpContent()$info
## Header ----
header <- shinydashboardPlus::dashboardHeader(title = mytitle,
titleWidth = 300,
#controlbarIcon = fa_i(name ="bars"),
dropdownMenuOutput("notificationMenu"),
dropdownMenu(
type = "messages",
icon = icon("question"),
badgeStatus = NULL,
headerText = strong("Help Menu"),
messageItem2(
from = "Package Tutorial",
message = "",
href = intro,
icon = icon("play-circle", lib = "glyphicon")
),
messageItem2(
from = "Convert and Import Data",
message = "",
icon = icon("info-sign", lib = "glyphicon"),
href = importData
),
messageItem2(
icon = icon("play", lib = "glyphicon"),
from = "biblioshiny Tutorial",
message = "",
href = slides
)
),
dropdownMenu(type = "messages",
icon = icon("comment-dollar", lib = "font-awesome"),
badgeStatus = NULL,
headerText = strong("Donate"),
messageItem2(
from = "Donation",
message = "",
href = donation,
icon = icon("share-alt", lib = "glyphicon")
)
),
dropdownMenu(
type = "messages",
icon = fa_i(name="cube"),
badgeStatus = NULL,
headerText = strong("Credits"),
messageItem2(
from = "Bibliometrix",
message = "",
href = bibliometrixWeb,
icon = fa_i(name = "globe")
),
messageItem2(
from = "K-Synth",
message = "",
href = k_synth,
icon = fa_i(name = "watchman-monitoring")
),
messageItem2(
from = "Github",
message = "",
href = github_aria,
icon = fa_i(name = "github")
)
)
,tags$li(class = "dropdown",
tags$style(".main-header .logo {height: 53px}")
)
)
## Side Bar ----
sidebar <- shinydashboardPlus::dashboardSidebar(
useShinyjs(),
sidebarMenu(
id="sidebarmenu",
menuItem("biblioshiny",tabName = "biblioshinyy",icon = fa_i(name="house-user")),
menuItem("Info", tabName ="info", icon = fa_i(name="circle-info")),
menuItem("Data",tabName = "uploadData",icon = fa_i(name = "file-import"),
menuSubItem("Load Data", tabName = "loadData",icon = icon("chevron-right",lib = "glyphicon")),
menuSubItem("Gathering Data", tabName = "gathData",icon = icon("chevron-right",lib = "glyphicon"))),
menuItemOutput ("rest_of_sidebar")
),
textOutput("res"), width = 300
)
## Body ####
### Theme ----
data("customTheme",envir=environment())
### Body Content ----
body <- dashboardBody(
customTheme,
## workaround to solve visualization issues in Data Table
tags$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", $(this).attr("data-value"));
});
});
'
)),
tabItems(
#### Homepage ----
##### home ----
tabItem("biblioshinyy",
fluidPage(
fluidRow(
column(12,
div(h1("biblioshiny: the shiny app for bibliometrix",
style="text-align:center; font-size:50px;")),
br()
),
column(12,
div(img(src = "logo.jpg", height = "35%",width = "35%"), style="text-align: center;")
),
column(12,
div(p("For an introduction and live examples, visit the ",
em(a("bibliometrix website.",
href = "https://www.bibliometrix.org", target="_blank")),
style="text-align:center; font-size:18px;")),
br(),
hr()
),
column(12,
div(h6("biblioshiny and bibliometrix are open-source and freely available for use, distributed under the MIT license.",
style="text-align:center; font-size:19px;")),
div(h6("When they are used in a publication, we ask that authors to cite the following reference:",
style="text-align:center; font-size:19px;")),
br(),
div(h6("Aria, M., & Cuccurullo, C. (2017).", strong(" bibliometrix: An R-tool for comprehensive"),
style="text-align:center; font-size:19px;")),
div(h6(strong("science mapping analysis."),
em("Journal of Informetrics"),", 11(4), 959-975.",
style="text-align:center; font-size:19px;")),
br(),
div(h6("Failure to properly cite the software is considered a violation of the license.",
style="text-align:center; font-size:19px;"))
)
)
)
),
tabItem("info",
fluidPage(
fluidRow(
column(1),
column(10,
HTML(info),
div(img(src = "table_DBformats.jpg", height = "70%",width = "70%"), style="text-align: center;")
),
column(1)
)
)),
#### Data ----
##### load Data ----
tabItem("loadData",
fluidPage(
fluidRow(
div(
tags$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,
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$hr(),
uiOutput("textLog"),
tags$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"))))
)
)
)
)
)
),
#### 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(
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")
)
)
)
),
##### 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",
"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",
"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",
"Titles" = "TI_TM",
"Abstract" = "AB_TM",
"Sources" = "SO",
"References" = "CR",
"Cited Sources" = "CR_SO"),
selected = "DE")),
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(
shinycssloaders::withSpinner(plotlyOutput(outputId = "ThreeFieldsPlot", height = "90vh"))
)
)
),
#### 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"))
)
)
)
)
),
##### 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"))
)
)
)
)
),
##### 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"))
)
)
)
)
),
##### 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 - RPY",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "rpysTable"))),
tabPanel("Table - Cited References",
shinycssloaders::withSpinner(DT::DTOutput(
outputId = "crTable")))
)
)
)
),
##### 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",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"),
selected = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"),
selected = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"),
selected = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB"),
selected = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB"),
selected = "ID"),
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"))
)
)
)
)
),
#### 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 = "ID"),
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",
"Titles" = "TI",
"Abstracts" = "AB",
"Subject Categories (WoS)" = "WC"),
selected = "ID"),
conditionalPanel(condition = "input.field == 'TI' | input.field == 'AB'",
selectInput("cocngrams",'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("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")))
)
)
)
),
##### 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",
"Titles" = "TI",
"Abstracts" = "AB"),
selected = "ID"),
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(),
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"))
)
)
)
)
),
##### 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",
"Titles" = "TI",
"Abstracts
" = "AB"),
selected = "ID"),
conditionalPanel(condition = "input.TEfield == 'TI' | input.TEfield == 'AB'",
selectInput("TEngrams",'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("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(plotlyOutput(outputId = "TEPlot", height = "75vh"))
),
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"))
)
)
)
)
)
)
),
##### 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",
"Titles" = "TI",
"Abstracts" = "AB"),
selected = "ID"),
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")))
)
)
)
),
#### 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(),
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)))
)
)
)
),
##### 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 = 4, 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")))
)
)
)
),
#### 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(),
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")))
)
)
)
),
##### 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")))
)
)
)
),
#### 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
)
)
)
)
)
),
#### 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.
)
)
)
)
)
)
## Control Bar ####
# controlbar <- shinydashboardPlus::dashboardControlbar(id = "controlbar2",
# uiOutput("controlbar"),
# skin = "light",
# width = 350,
# overlay = FALSE,
# collapsed = TRUE,
# shinyjs::useShinyjs()
# )
## UI ####
ui <- shinydashboardPlus::dashboardPage(
#shinyjs::useShinyjs(),
header = header,
sidebar = sidebar,
body = body,
#controlbar = controlbar,
footer = NULL,
options = list(sidebarExpandOnHover = TRUE),
scrollToTop =TRUE
)
# END ----
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