如何从数据中生成R中的igraph兼容边集

Question

我有一个数据集，当前包含一组单词以及它们最初的段落，如下所示：

word <- c("wind", "statement", "card", "growth", "egg", "caption", "statement", "robin", "growth")
paragraph <- c(1, 1, 1, 2, 2, 2, 3, 3, 3)
data <- data.frame(word, paragraph)

我试图从它生成一个igraph的边缘列表，根据它在这样的段落中的共现来连接每个单词：

node1 <- c("wind", "wind", "statement", "statement", "card", "card", "growth", "growth", "egg", "egg", "caption", "caption", "statement", "statement", "robin", "robin", "growth", "growth")
node2 <- c("statement", "card", "wind", "card", "wind", "statement", "egg", "caption", "growth", "caption", "growth", "egg", "robin", "growth", "statement", "growth", "statement", "robin")
edges <- data.frame(node1, node2)

到目前为止，我只是想出了如何根据段落使用来计算每个单词之间的相关性

data <- data %>% group_by(word) %>% pairwise_cor(word, paragraph, sort = TRUE)

来自widyr包，但对于我想要运行的其他操作，我真的需要边缘是实际的共现数而不是相关系数。有谁知道是否有一些代码可以解决这个问题？任何帮助将非常感谢!!

Answer 1

当你说“我真的需要边缘是实际的共现数而不是相关系数”时，我不太清楚你的意思。然而，“我正在尝试为它创建一个边缘列表，根据它在段落中的共现来连接每个单词”似乎很清楚。我认为这意味着如果两个单词在同一段落中，它们会被链接起来。您可以像这样使用combn制作那种边缘列表：

Edges = c()
for(p in unique(data$paragraph)) { 
    Edges = c(Edges, word[combn(which(data$paragraph == p), 2)]) }
EL = matrix(Edges, ncol=2, byrow=T)

library(igraph)

g = graph_from_edgelist(EL, directed=FALSE)
plot(g)