Pseudo-likelihood methods for community detection in large sparse networks

10 Jul 2012Arash A. AminiAiyou ChenPeter J. BickelElizaveta Levina

Many algorithms have been proposed for fitting network models with communities, but most of them do not scale well to large networks, and often fail on sparse networks. Here we propose a new fast pseudo-likelihood method for fitting the stochastic block model for networks, as well as a variant that allows for an arbitrary degree distribution by conditioning on degrees... (read more)

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