Bipartite Configuration Model for Python - Documentation

The Bipartite Configuration Model (BiCM) is a statistical null model for binary bipartite networks [Squartini2011], [Saracco2015]. It offers an unbiased method for analyzing node similarities and obtaining statistically validated monopartite projections [Saracco2017].

The BiCM belongs to a series of entropy-based null models for binary bipartite networks, see also

  • BiPCM - Bipartite Partial Configuration Model
  • BiRG - Bipartite Random Graph

Please consult the original articles for details about the underlying methods and applications to user-movie and international trade databases [Saracco2017], [Straka2017].

An example case is illustrated in the Tutorial.

Indices and tables