
The authors propose an extension to the existing Stochastic Degree Sequence Model (SDSM) that allows the null model to include edge constraints (EC) such as prohibited edges, enabling more accurate backbone extraction from bipartite network projections.


coremsg

stochastic-degree-sequence-model-with-edge-constraints-sdsm-ec-for-backbone-extraction


Stochastic Degree Sequence Model with Edge Constraints (SDSM-EC) for Backbone Extraction


title_rewrite


The Bipartite Mixed Membership Distribution-Free (BiMMDF) model allows for community detection in overlapping bipartite weighted networks where the edge weights can follow any distribution.


a-novel-distribution-free-model-for-community-detection-in-overlapping-bipartite-weighted-networks


A Novel Distribution-Free Model for Community Detection in Overlapping Bipartite Weighted Networks
