On 15.11.2016 19:24, Andrea Briega wrote: > The edge's weights are integers
In this case, you should just pass the property map with the weights as the "eweight" parameter, e.g. state = minimize_nested_blockmodel_dl(g,state_args=dict(eweight=weights)) Best, Tiago > 2016-11-15 18:17 GMT+01:00 Andrea Briega <[email protected] > <mailto:[email protected]>>: > > Dear Dr. Tiago Peixoto, > > I have a question regarding weighted graphs. I would like to classify a > network with weighted edges into groups taking into account these > weights. I have used minimize_blockmodel_dl and > minimize_nested_blockmodel_dl before but I don't know exactly how to > implement these functions in a weighted network. I'm not sure if I have > to use the layered version, but in this case I don't know how to get > these layers from my network. > > Thank you very much and sorry for the basic question, > > Andrea > > > > > _______________________________________________ > graph-tool mailing list > [email protected] > https://lists.skewed.de/mailman/listinfo/graph-tool > -- Tiago de Paula Peixoto <[email protected]>
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