attribute_mixing_dict¶

attribute_mixing_dict(G, attribute, nodes=None, normalized=False)[source]¶

Return dictionary representation of mixing matrix for attribute.

Parameters:	G : graph NetworkX graph object. attribute : string Node attribute key. nodes: list or iterable (optional) Unse nodes in container to build the dict. The default is all nodes. normalized : bool (default=False) Return counts if False or probabilities if True.
Returns:	d : dictionary Counts or joint probability of occurrence of attribute pairs.

Examples

>>> G=nx.Graph()
>>> G.add_nodes_from([0,1],color='red')
>>> G.add_nodes_from([2,3],color='blue')
>>> G.add_edge(1,3)
>>> d=nx.attribute_mixing_dict(G,'color')
>>> print(d['red']['blue'])
1
>>> print(d['blue']['red']) # d symmetric for undirected graphs
1