networkx.algorithms.assortativity.degree_mixing_matrix

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

Returns mixing matrix for attribute.

Parameters:
  • 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.
Returns:

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

Return type:

numpy array