Description Usage Arguments Value Author(s) References See Also

View source: R/communicability.R

`centr_betw_comm`

calculates the *communicability betweenness* of
the vertices of a graph. The centrality for vertex `r`

is

*ω_r = \frac{1}{C} ∑_p ∑_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.

1 | ```
centr_betw_comm(g, A = NULL)
``` |

`g` |
An |

`A` |
Numeric matrix, the graph's adjacency matrix (default: |

A numeric vector of the centrality for each vertex

Christopher G. Watson, [email protected]

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

Other Centrality functions: `centr_lev`

brainGraph documentation built on May 29, 2018, 9:03 a.m.

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