Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks

arXiv:2211.00912v3 Announce Type: replace-cross
Abstract: Modeling and estimating mixed memberships for overlapping unipartite un-weighted networks has been well studied in recent years. However, to our knowledge, there is no model for a more general case, the overlapping bipartite weighted networks. To close this gap, we introduce a novel model, the Bipartite Mixed Membership Distribution-Free (BiMMDF) model. Our model allows an adjacency matrix to follow any distribution as long as its expectation has a block structure related to node membership. In …

abstract arxiv case community cs.si detection distribution free gap general however knowledge mixed modeling networks novel physics.data-an stat.ml type