Am 17.02.20 um 18:35 schrieb Deklan Webster:
When you sample from the posterior and take the vertex marginals, is it proper to say that we can interpret the marginals for a given vertex as being the degree of membership in the communities (fuzzy community membership)?
It can be interpreted as the posterior probability of a node belonging to a particular group.
If so, how does this differ from the overlapping blockstate?
It's different, because the generative model is not the same. In an overlapping SBM the nodes can belong to multiple groups at the same time. In the non-overlapping version, this is not possible. The marginal distribution just conveys the uncertainty of the inference, not joint membership. Best, Tiago -- Tiago de Paula Peixoto <tiago@skewed.de>