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