networkx.algorithms.communicability_alg.communicability¶

communicability
(G)[source]¶ Returns communicability between all pairs of nodes in G.
The communicability between pairs of nodes in G is the sum of walks of different lengths starting at node u and ending at node v.
 Parameters
 G: graph
 Returns
 comm: dictionary of dictionaries
Dictionary of dictionaries keyed by nodes with communicability as the value.
 Raises
 NetworkXError
If the graph is not undirected and simple.
See also
communicability_exp
Communicability between all pairs of nodes in G using spectral decomposition.
communicability_betweenness_centrality
Communicability betweeness centrality for each node in G.
Notes
This algorithm uses a spectral decomposition 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
andv
based on the graph spectrum is [1]\[C(u,v)=\sum_{j=1}^{n}\phi_{j}(u)\phi_{j}(v)e^{\lambda_{j}},\]where
phi_{j}(u)
is theurm{th}
element of thejrm{th}
orthonormal eigenvector of the adjacency matrix associated with the eigenvaluelambda_{j}
.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(G)