Assortativity

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

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.

Mixing

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.

Pairs

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.