Dear all, I have a large (30k+ nodes and edges) directed bipartite weighted graph where one mode are people and the other are artifacts (each interaction generates a comment). I am trying to assess how connected the communities are by means of artifacts. Amount of interaction of artifacts are annotated within the edges of the original graph 'g'.
Once I generate the projections 'g1' (commenters) and 'g2' (artifacts), I would like to observe the generated edges among users being the sum of the weights of the interactions on the original graph, as this is a reflection of how many times those two users commented on the same post on 'g'. I am using igraph on python, and I noticed the method has the attribute 'multiplicity', however it seemed to me it accounts for summing up the relation of a given user interacting with different artifacts, and ignoring 'g' weights. Did I misunderstand? The graph on ipython is considered 'directed', I am unsure if being 'directed' or 'indirected' impacts over the transfer of weights as well. Thank you for your attention, Carlos A.
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