networkx.algorithms.assortativity.attribute_mixing_dict

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

Returns 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.

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
Returns:d – Counts or joint probability of occurrence of attribute pairs.
Return type:dictionary