Assortativity¶

`degree_assortativity_coefficient`(G[, x, y, …])	Compute degree assortativity of graph.
`attribute_assortativity_coefficient`(G, attribute)	Compute assortativity for node attributes.
`numeric_assortativity_coefficient`(G, attribute)	Compute assortativity for numerical node attributes.
`degree_pearson_correlation_coefficient`(G[, …])	Compute degree assortativity of graph.

Average neighbor degree¶

average_neighbor_degree(G[, source, target, …])

Returns the average degree of the neighborhood of each node.

`average_degree_connectivity`(G[, source, …])	Compute the average degree connectivity of graph.
`k_nearest_neighbors`(G[, source, target, …])	Compute the average degree connectivity of graph.

`attribute_mixing_matrix`(G, attribute[, …])	Returns mixing matrix for attribute.
`degree_mixing_matrix`(G[, x, y, weight, …])	Returns mixing matrix for attribute.
`numeric_mixing_matrix`(G, attribute[, nodes, …])	Returns numeric mixing matrix for attribute.
`attribute_mixing_dict`(G, attribute[, nodes, …])	Returns dictionary representation of mixing matrix for attribute.
`degree_mixing_dict`(G[, x, y, weight, nodes, …])	Returns dictionary representation of mixing matrix for degree.
`mixing_dict`(xy[, normalized])	Returns a dictionary representation of mixing matrix.

`node_attribute_xy`(G, attribute[, nodes])	Returns iterator of node-attribute pairs for all edges in G.
`node_degree_xy`(G[, x, y, weight, nodes])	Generate node degree-degree pairs for edges in G.