Warning
This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.
numeric_assortativity_coefficient¶
- numeric_assortativity_coefficient(G, attribute, nodes=None)¶
Compute assortativity for numerical node attributes.
Assortativity measures the similarity of connections in the graph with respect to the given numeric attribute.
Parameters : G : NetworkX graph
attribute : string
Node attribute key
nodes: list or iterable (optional)
Compute numeric assortativity only for attributes of nodes in container. The default is all nodes.
Returns : r: float
Assortativity of graph for given attribute
Notes
This computes Eq. (21) in Ref. [R153] , for the mixing matrix of of the specified attribute.
References
[R153] (1, 2) M. E. J. Newman, Mixing patterns in networks Physical Review E, 67 026126, 2003 Examples
>>> G=nx.Graph() >>> G.add_nodes_from([0,1],size=2) >>> G.add_nodes_from([2,3],size=3) >>> G.add_edges_from([(0,1),(2,3)]) >>> print(nx.numeric_assortativity_coefficient(G,'size')) 1.0