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 contract.vertices()函数.这将顶点组收缩为单个顶点，基本上与您想要的方式相同.例如.
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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