networkx.algorithms.communicability_alg.communicability_exp¶

communicability_exp
(G)[source]¶ Returns 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)
 Returns
comm – Dictionary of dictionaries keyed by nodes with communicability as the value.
 Return type
dictionary of dictionaries
 Raises
NetworkXError – If the graph is not undirected and simple.
See also
communicability()
Communicability between pairs of nodes in G.
communicability_betweenness_centrality()
Communicability betweeness centrality for each node in G.
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,
\[C(u,v) = (e^A)_{uv},\]where
A
is the adjacency matrix of G.References
 1
Ernesto Estrada, Naomichi Hatano, “Communicability in complex networks”, Phys. Rev. E 77, 036111 (2008). https://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)