How do you fit a (nested) blockmodel if the edge weights are real?
On Wed, 16 Nov 2016 at 06:55 Andrea Briega firstname.lastname@example.org wrote:
I hadn't found that option, it's much easier than I thought. Thank you very much!
2016-11-15 19:24 GMT+01:00 Andrea Briega email@example.com:
The edge's weights are integers
2016-11-15 18:17 GMT+01:00 Andrea Briega firstname.lastname@example.org:
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,
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