Hello.
As I understand, edge multiplicities is kind of number of edges between two
nodes.
And we can define it via 'eweight' attribute in BlockState. In some way
(may be I'm wrong)
if I differentiate initial edges by assigning to them different 'weights'
via 'eweight', I
will have also weighted graph model.
What is the difference between edge covariates and edge multiplicities
besides the generative model priors? Or I can consider them as a special
simple case
of more general 'edge covariates' of 'recs' attribute?
Is there any discussion about this?
Thank you.
Valeriy
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