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CINNA (version 1.2.2)

group_centrality: Group Centrality

Description

This function computes the Group Centrality for nodes in a network. Group centrality considers a consistent ranking of each node to be calculated, taking into account the diverse possible synergies among possible groups of vertices.

Usage

group_centrality(x, vids = V(x))

Value

A numeric vector of centrality values for each node. The length of the vector is equal to the number of nodes in the network.

Arguments

x

An igraph or a network object.

vids

Nodes to be considered in the calculation.

Author

Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari

References

Michalak, T.P., Aadithya, K.V., Szczepanski, P.L., Ravindran, B. and Jennings, N.R., 2013. Efficient computation of the Shapley value for game-theoretic network centrality. Journal of Artificial Intelligence Research, 46, pp.607-650.

https://www.civilica.com/Paper-IBIS07-IBIS07_127.html

Examples

Run this code

data(zachary)

group_centrality(zachary)

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