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brainGraph (version 2.7.3)

centr_betw_comm: Calculate communicability betweenness centrality

Description

centr_betw_comm calculates the communicability betweenness of the vertices of a graph. The centrality for vertex r is $$\omega_r = \frac{1}{C} \sum_p \sum_q \frac{(e^{\mathbf{A}})_{pq} - (e^{\mathbf{A} + \mathbf{E}(r)})_{pq}}{(e^{\mathbf{A}})_{pq}}$$ where \(C = (n - 1)^2 - (n - 1)\) is a normalization factor.

Usage

centr_betw_comm(g, A = NULL)

Arguments

g

An igraph graph object

A

Numeric matrix, the graph's adjacency matrix (default: NULL)

Value

A numeric vector of the centrality for each vertex

References

Estrada E., Higham D.J., Hatano N. (2009) Communicability betweenness in complex networks. Physica A, 388:764-774.

See Also

Other Centrality functions: centr_lev