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brainGraph (version 3.1.0)

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)

Value

A numeric vector of the centrality for each vertex

Arguments

g

An igraph graph object

A

Numeric matrix; the adjacency matrix of the input graph. Default: NULL

Author

Christopher G. Watson, cgwatson@bu.edu

References

Estrada, E. and Higham, D.J. and Hatano N. (2009) Communicability betweenness in complex networks. Physica A, 388, 764--774. tools:::Rd_expr_doi("10.1016/j.physa.2008.11.011")

See Also

Other Centrality functions: centr_lev