TY  - JOUR
ID  - orchid38
UR  - http://pre.aps.org/pdf/PRE/v83/i6/e066114
IS  - 6
A1  - Psorakis, Ioannis
A1  - Roberts, Stephen J
A1  - Ebden, Mark
A1  - Sheldon, Ben
Y1  - 2011///
N2  - 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.
JF  - Physical Review E
VL  - 83
SN  - 1539-3755
TI  - Overlapping Community Detection using Bayesian Nonnegative Matrix Factorization.
AV  - public
ER  -