title: Overlapping Community Detection using Bayesian Nonnegative Matrix Factorization.
creator: Psorakis, Ioannis
creator: Roberts, Stephen J
creator: Ebden, Mark
creator: Sheldon, Ben
subject: Machine Learning
subject: Incentive Engineering
description: Identifying overlapping communities in networks is a challenging task. In this work we present a probabilistic  approach to community detection that utilizes a Bayesian non-negative matrix factorization model to extract  overlapping modules from a network. The scheme has the advantage of soft-partitioning solutions, assignment  of node participation scores to modules, and an intuitive foundation. We present the performance of the method  against a variety of benchmark problems and compare and contrast it to several other algorithms for community  detection.
date: 2011
type: Article
type: PeerReviewed
format: application/pdf
identifier: http://www.orchid.ac.uk/eprints/38/1/PRE_NMF.pdf
relation: http://pre.aps.org/pdf/PRE/v83/i6/e066114
identifier:   Psorakis, Ioannis and Roberts, Stephen J and Ebden, Mark and Sheldon, Ben  (2011) Overlapping Community Detection using Bayesian Nonnegative Matrix Factorization.  Physical Review E, 83 (6).   ISSN 1539-3755     
relation: http://www.orchid.ac.uk/eprints/38/