Individual mixing patterns in networks

Python class for Bayesian analysis of mixing patterns in networks.

This code implements the methods described in:
Mixing patterns and individual differences in networks [arXiv]
George T. Cantwell and M. E. J. Newman
Phys. Rev. E 99, 042306

The basic usage would be

import individual_mixing

DM = individual_mixing.DirichletModel(k,g)
DM.fit()

where k is the edge matrix and g is the group vector, as described in the original paper. See example.py for an example.