This documents the development version of NetworkX. Documentation for the current release can be found here.


degree_mixing_matrix(G, x='out', y='in', weight=None, nodes=None, normalized=True)[source]

Returns mixing matrix for attribute.

  • G (graph) – NetworkX graph object.

  • x (string (‘in’,’out’)) – The degree type for source node (directed graphs only).

  • y (string (‘in’,’out’)) – The degree type for target node (directed graphs only).

  • nodes (list or iterable (optional)) – Build the matrix using only nodes in container. The default is all nodes.

  • weight (string or None, optional (default=None)) – The edge attribute that holds the numerical value used as a weight. If None, then each edge has weight 1. The degree is the sum of the edge weights adjacent to the node.

  • normalized (bool (default=True)) – Return counts if False or probabilities if True.


m – Counts, or joint probability, of occurrence of node degree.

Return type

numpy array