# communicability_exp¶

communicability_exp(G)[source]

Return communicability between all pairs of nodes in G.

Communicability between pair of node (u,v) of node in G is the sum of closed walks of different lengths starting at node u and ending at node v.

Parameters: G (graph) – comm – Dictionary of dictionaries keyed by nodes with communicability as the value. dictionary of dictionaries NetworkXError – If the graph is not undirected and simple.

communicability_centrality_exp()
Communicability centrality for each node of G using matrix exponential.
communicability_centrality()
Communicability centrality for each node in G using spectral decomposition.
communicability_exp()
Communicability between all pairs of nodes in G using spectral decomposition.

Notes

This algorithm uses matrix exponentiation of the adjacency matrix.

Let G=(V,E) be a simple undirected graph. Using the connection between the powers of the adjacency matrix and the number of walks in the graph, the communicability between nodes u and v is [1],

where is the adjacency matrix of G.

References

 [1] Ernesto Estrada, Naomichi Hatano, “Communicability in complex networks”, Phys. Rev. E 77, 036111 (2008). http://arxiv.org/abs/0707.0756

Examples

>>> G = nx.Graph([(0,1),(1,2),(1,5),(5,4),(2,4),(2,3),(4,3),(3,6)])
>>> c = nx.communicability_exp(G)