Overlapping community detection at scale: a nonnegative matrix factorization approach
Published in
Web Search and Data Mining(2013)External Links:
TL
TL;DR
This paper presents BIGCLAM (Cluster Affiliation Model for Big Networks), an overlapping community detection method that scales to large networks of millions of nodes and edges and builds on a novel observation that overlaps between communities are densely connected.