Hi Tamás, Thank you for your prompt answer.
You are absolutely right, I had to write some other lines of code. First I apply fastgreedy.community to the graph I called g_n1. This is a connected and undirected graph. Then I apply communities to the result of fastgreedy.community. Here there is the instruction I use to obtain fg_communities. fg_communities <- communities(fastgreedy.community(g_n1)) This way I obtain the list of vertices belonging to each community and I store it in fg_communities. I need to loop over the communities in order to extract the subgraph associated to each of them. So the instruction that follows: sub_graph <- induced.subgraph(graph=g_n1, v=unlist(fg_communities[k])) is aimed at store in the variable sub_graph the subgraph associated to the commuty in position number k. I hope to have been more clear in my explanation. Thank you again. Best, Matteo 2012/11/17 Tamás Nepusz <[email protected]>: > Hi, > >> sub_graph <- induced.subgraph(graph=g_n1, v=unlist(fg_communities[k])) > Can you let us know what does fg_communities contain when you issue this > command? Even better, can you send us a small, self-contained example that > reproduces the problem? > > Best, > Tamas > > > _______________________________________________ > igraph-help mailing list > [email protected] > https://lists.nongnu.org/mailman/listinfo/igraph-help _______________________________________________ igraph-help mailing list [email protected] https://lists.nongnu.org/mailman/listinfo/igraph-help
