#' ---
#' title: "Technology Clusters"
#' author: Joshua
#' date: "Today"
#' output:
#' flexdashboard::flex_dashboard:
#' orientation: columns
#' source_code: embed
#' ---
#+ include=FALSE
library(highcharter)
library(readr)
library(dplyr)
library(igraph)
# This shared file contains the number of question that have each pair of tags
# This counts only questions that are not deleted and have a positive score
tag_pair_data <- read_csv("~/../Downloads/tag_pairs.csv.gz")
relationships <- tag_pair_data %>%
mutate(Fraction = Cooccur / Tag1Total) %>%
filter(Fraction >= .35) %>%
distinct(Tag1)
v <- tag_pair_data %>%
select(Tag1, Tag1Total) %>%
distinct(Tag1) %>%
filter(Tag1 %in% relationships$Tag1 |
Tag1 %in% relationships$Tag2) %>%
arrange(desc(Tag1Total))
g <- graph.data.frame(relationships, directed = FALSE, vertices = v)
wc <- cluster_walktrap(g)
nc <- length(unique(membership(wc)))
V(g)$label <- V(g)$name
V(g)$page_rank <- round(page.rank(g)$vector, 2)
V(g)$page_rank <- round(page.rank(g)$vector, 2)
V(g)$betweenness <- round(betweenness(g), 2)
V(g)$degree <- degree(g)
V(g)$size <- V(g)$degree
V(g)$comm <- membership(wc)
V(g)$color <- colorize(membership(wc))
#+
hchart(g, minSize = 5, maxSize = 40) %>%
hc_chart(zoomType = "xy")
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