Skip to main content

Package for bipartite configuration model

Project description

BiCM package.

This is a Python package for the computation of the maximum entropy bipartite configuration model (BiCM) and the projection of bipartite networks on one layer. It was developed with Python 3.5.

You can install this package via pip:

pip install bicm

Documentation is available at

For more solvers of maximum entropy configuration models visit

How to cite

If you use the bicm module, please cite its location on Github and the original articles [Saracco2015] and [Saracco2017].


[Saracco2015] F. Saracco, R. Di Clemente, A. Gabrielli, T. Squartini, Randomizing bipartite networks: the case of the World Trade Web, Scientific Reports 5, 10595 (2015).

[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)

[Squartini2011] T. Squartini, D. Garlaschelli, Analytical maximum-likelihood method to detect patterns in real networks, New Journal of Physics 13, (2011)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bicm-0.9.tar.gz (21.7 kB view hashes)

Uploaded Source

Built Distribution

bicm-0.9-py3-none-any.whl (26.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page