Bipartite Configuration Model for Python
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
Please consult the original articles for details about the underlying methods and applications to user-movie and international trade databases [Saracco2017], [Straka2017].
Mika J. Straka
Version and Documentation
The newest version of the module can be found on https://github.com/tsakim/bicm.
The complete documentation is available at
http://bicm.readthedocs.io/ and in the file
How to cite
If you use the
bicm module, please cite its location on Github
https://github.com/tsakim/bicm and the
original articles [Saracco2015] and [Saracco2017].
[Saracco2017] F. Saracco, M. J. Straka, R. Di Clemente, A. Gabrielli, G. Caldarelli, and T. Squartini, Inferring monopartite projections of bipartite networks: an entropy-based approach, New J. Phys. 19, 053022 (2017)
Copyright (c) 2015-2017 Mika J. Straka