This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.
- degree_mixing_matrix(G, x='out', y='in', weight=None, nodes=None, normalized=True)¶
Return 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=False)
Return counts if False or probabilities if True.
m: numpy array
Counts, or joint probability, of occurrence of node degree.