On semidefinite relaxations for the block model

21 Jun 2014Arash A. AminiElizaveta Levina

The stochastic block model (SBM) is a popular tool for community detection in networks, but fitting it by maximum likelihood (MLE) involves a computationally infeasible optimization problem. We propose a new semidefinite programming (SDP) solution to the problem of fitting the SBM, derived as a relaxation of the MLE... (read more)

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