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Matched bipartite block model with covariates

Presented by: 
Arash Amini University of California, Los Angeles
Date: 
Thursday 14th July 2016 - 09:30 to 10:00
Venue: 
INI Seminar Room 1
Abstract: 
Community detection in bipartite networks is challenging. Motivated by an application from biology, we consider a model which allows for matched communities in the bipartite setting, in addition to node covariates with information about the matching. We derive a simple fast algorithm for fitting the model based on variational inference ideas and show its effectiveness in simulations.
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons