attribute_assortativity_coefficient¶

attribute_assortativity_coefficient(G, attribute, nodes=None)[source]¶

Compute assortativity for node attributes.

Assortativity measures the similarity of connections in the graph with respect to the given attribute.

Parameters:	G (NetworkX graph) – attribute (string) – Node attribute key nodes (list or iterable (optional)) – Compute attribute assortativity for nodes in container. The default is all nodes.
Returns:	r – Assortativity of graph for given attribute
Return type:	float

Examples

>>> G=nx.Graph()
>>> G.add_nodes_from([0,1],color='red')
>>> G.add_nodes_from([2,3],color='blue')
>>> G.add_edges_from([(0,1),(2,3)])
>>> print(nx.attribute_assortativity_coefficient(G,'color'))
1.0

Notes

This computes Eq. (2) in Ref. [1] , trace(M)-sum(M))/(1-sum(M), where M is the joint probability distribution (mixing matrix) of the specified attribute.

References

[1]	M. E. J. Newman, Mixing patterns in networks, Physical Review E, 67 026126, 2003