The papers look interesting. Has anyone implemented any of the methods
into igraph (or any other library for that matter)?
I'm not aware of any such implementation but there was a thread on this mailing
list some time earlier where I proposed a relatively simple method to assess
the significance of a particular community. Given that you work in R, you
should have all the necessary statistical tools (e.g., the Mann-Whitney U test)
to implement it:
http://lists.gnu.org/archive/html/igraph-help/2012-06/msg00014.html
Chen -- do you mean edge.betweenness.community()?
I tried it but then R hangs (haven't tried letting run for a few hours
though).
edge.betweenness.community() is slow so it isn't really useful for graphs that
contain more than a few hundred vertices -- unless you have a day to spare or
so :) I would probably try multilevel.community() and/or infomap.community().
There is a recent review of community detection algorithms that you might be
interested in:
http://arxiv.org/abs/0906.0612
Best,
Tamas
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