Complex Network Analysis in Python

Analyze the Network

Out of so many ways to analyze a network, let’s focus on degree and assortativity analysis. All network nodes have two attributes: kind (with three possible values Entities, Officers, or Intermediaries) and country. Let’s have a look at each of the assortativities, both directly and through the attribute mixing matrix (only for the kind).

panama.py

nx.attribute_assortativity_coefficient(panama0, "kind")
nx.attribute_mixing_matrix(panama0, "kind",
                           mapping={"Entities": 0, "Officers": 1,
                                    "Intermediaries" : 2})
nx.attribute_assortativity_coefficient(panama0, "country")
nx.degree_assortativity_coefficient(panama0)

-0.9896603076687625
array([[  0.00000000e+00,   4.97403946e-01,   2.59605400e-04],
 [ 4.97403946e-01, ...