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This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.

# Centrality¶

## Degree¶

 degree_centrality(G) Compute the degree centrality for nodes. in_degree_centrality(G) Compute the in-degree centrality for nodes. out_degree_centrality(G) Compute the out-degree centrality for nodes.

## Eigenvector¶

 eigenvector_centrality(G[, max_iter, tol, …]) Compute the eigenvector centrality for the graph G. eigenvector_centrality_numpy(G[, weight, …]) Compute the eigenvector centrality for the graph G. katz_centrality(G[, alpha, beta, max_iter, …]) Compute the Katz centrality for the nodes of the graph G. katz_centrality_numpy(G[, alpha, beta, …]) Compute the Katz centrality for the graph G.

## Closeness¶

 closeness_centrality(G[, u, distance, …]) Compute closeness centrality for nodes.

## Current Flow Closeness¶

 current_flow_closeness_centrality(G[, …]) Compute current-flow closeness centrality for nodes. information_centrality(G[, weight, dtype, …]) Compute current-flow closeness centrality for nodes.

## (Shortest Path) Betweenness¶

 betweenness_centrality(G[, k, normalized, …]) Compute the shortest-path betweenness centrality for nodes. edge_betweenness_centrality(G[, k, …]) Compute betweenness centrality for edges. betweenness_centrality_subset(G, sources, …) Compute betweenness centrality for a subset of nodes. edge_betweenness_centrality_subset(G, …[, …]) Compute betweenness centrality for edges for a subset of nodes.

## Current Flow Betweenness¶

 current_flow_betweenness_centrality(G[, …]) Compute current-flow betweenness centrality for nodes. edge_current_flow_betweenness_centrality(G) Compute current-flow betweenness centrality for edges. approximate_current_flow_betweenness_centrality(G) Compute the approximate current-flow betweenness centrality for nodes. current_flow_betweenness_centrality_subset(G, …) Compute current-flow betweenness centrality for subsets of nodes. edge_current_flow_betweenness_centrality_subset(G, …) Compute current-flow betweenness centrality for edges using subsets of nodes.

## Communicability Betweenness¶

 communicability_betweenness_centrality(G[, …]) Returns subgraph communicability for all pairs of nodes in G.

 load_centrality(G[, v, cutoff, normalized, …]) Compute load centrality for nodes. edge_load_centrality(G[, cutoff]) Compute edge load.

## Subgraph¶

 subgraph_centrality(G) Returns subgraph centrality for each node in G. subgraph_centrality_exp(G) Returns the subgraph centrality for each node of G. estrada_index(G) Returns the Estrada index of a the graph G.

## Harmonic Centrality¶

 harmonic_centrality(G[, nbunch, distance]) Compute harmonic centrality for nodes.

## Reaching¶

 local_reaching_centrality(G, v[, paths, …]) Returns the local reaching centrality of a node in a directed graph. global_reaching_centrality(G[, weight, …]) Returns the global reaching centrality of a directed graph.

## Percolation¶

 percolation_centrality(G[, attribute, …]) Compute the percolation centrality for nodes.

## Second Order Centrality¶

 second_order_centrality(G) Compute the second order centrality for nodes of G.

## VoteRank¶

 voterank(G[, number_of_nodes, max_iter]) Compute a list of seeds for the nodes in the graph using VoteRank [1]_.