在igraph中生成社区图 [英] generating a community graph in igraph

问题描述

我一直在寻找这个问题的答案，但找不到任何提及，因此我决定在此处发布.我正在尝试查看igraph或任何软件包是否提供了一种创建社区图"的简单方法，其中每个节点代表网络中的社区，而联系关系则代表了社区之间的联系.我可以使社区检测算法在igraph中正常工作，但是我找不到一种方法来折叠结果以仅显示每个社区之间的联系.任何帮助将不胜感激.

I have been searching for an answer to this question but could not find any mention, so I decided to post here. I am trying to see if igraph or any packages provide a simple way to create a "community graph" where each node represents a community in the network and the ties represent ties between the communities. I can get the community detection algorithm to work fine in igraph, but I could not find a way to collapse the results to just show connections between each community. Any assistance would be appreciated.

推荐答案

您可以简单地使用

You can simply use the contract.vertices() function. This contracts groups of vertices into a single vertex, essentially the same way you want it. E.g.

library(igraph)

## create example graph
g1 <- graph.full(5)
V(g1)$name <- 1:5    
g2 <- graph.full(5)
V(g2)$name <- 6:10
g3 <- graph.ring(5)
V(g3)$name <- 11:15
g <- g1 %du% g2 %du% g3 + edge('1', '6') + edge('1', '11')

## Community structure
fc <- fastgreedy.community(g)

## Create community graph, edge weights are the number of edges
cg <- contract.vertices(g, membership(fc))
E(cg)$weight <- 1
cg2 <- simplify(cg, remove.loops=FALSE)

## Plot the community graph
plot(cg2, edge.label=E(cg2)$weight, margin=.5, layout=layout.circle)

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