Just to illustrate (sorry for the bad hand drawing), this is what I am confused about:
https://www.dropbox.com/s/fl69kekipqksd4i/Screenshot%202014-12-01%2012.51.22.png?dl=0 I am interested on the red circled '16', it seems from the description on the documentation ( http://igraph.org/python/doc/igraph.Graph-class.html#bipartite_projection) that igraph, however, will provide me with the orange squared '2' as the weight on the edge if multiplicity is set as true. Both values are actually of my interest, thank you. Carlos A. Em Mon Dec 01 2014 at 12:31:45 PM, Carlos Andrade <[email protected]> escreveu: > 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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