| group_centrality {CINNA} | R Documentation |
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))
Arguments
x |
An igraph or a network object. |
vids |
Nodes to be considered in the calculation. |
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.
Author(s)
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
data(zachary)
group_centrality(zachary)