Hi,
please consider this example :
karate <- graph.famous("Zachary")
fc <- infomap.community(karate)
E(karate)[crossing(fc, karate)] # this would give the edges between
communities
plot.communities(fc,karate)
here is the list of the functions to deal with the result of the network
community detection : http://igraph.org/r/doc/communities.html
Regards,
fatemeh
On Mon, Nov 17, 2014 at 10:26 AM, Ragia Ibrahim <[email protected]> wrote:
>
> Hello,
> kindly if I spliet the graph through "
> fc<-fastgreedy.community(as.undirected(g)) " into communties, how to
> determine links (edges) between those communities. If i had 100 community
> and a link for example between community 1 and 6 ho to get this link id or
> the nodes that are connected?
> many thanks
>
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>
--
regards
F..A
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