[igraph] python ig.Graph.multilevel_community

[Lucio Floretta]

Dear all,
I am trying to run the community detection algorithm multilevel_community on 
the attached graph using the commands:

com1 = g.community_multilevel(weights='weight')
com2 = g.community_multilevel(weights=g.es['weight'])

In both case, the algorithm seams to not take in account the edges weights 
returning each node as a single cluster. The vertex attribute 'Blondel' 
contains the membership obtained running the C++ code distributed by the 
Blondel et al. on the same network and indeed has an higher modularity (0.02... 
vs - 0.06...). 

Am I doing something wrong?

Thanks for the help and kind regards,
Lucio Floretta

DI_clean.pickle
Description: Binary data