Dear Lucio,
> 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.
This is not what happens on my machine:
>>> g = load("DI_clean.pickle")
>>> com1 = g.community_multilevel(weights="weight")
>>> len(com1)
63
>>> g.vcount()
1619
This indicates that you have 63 clusters for 1619 vertices. Also, the
modularity is positive:
>>> com1.q
0.021505758059457203
Please confirm that the commands above indeed produce 1619 clusters in your
machine; if this is the case, let us know which platform you are using and what
version of igraph so I can try reproducing your issue.
Cheers,
Tamas
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