met.ci {ANTs}R Documentation

Centralisation index

Description

Computes network Centralisation index

Usage

met.ci(M, df = NULL)

Arguments

M

a square adjacency matrix, or a list of square adjacency matrices, or an output of ANT functions stat.ds.grp, stat.df.focal, stat.net.lk.

df

a data frame of same length as the input matrix or a list of data frames if argument M is a list of matrices or an output of ANT functions stat.ds.grp, stat.df.focal, stat.net.lk.

Details

Centralisation index of a network is based on eigenvector centrality.

Value

#'

Author(s)

Sebastian Sosa, Ivan Puga-Gonzalez

References

Pasquaretta, C., Levé, M., Claidiere, N., Van De Waal, E., Whiten, A., MacIntosh, A. J., ... & Crofoot, M. C. (2014). Social networks in primates: smart and tolerant species have more efficient networks. Scientific reports, 4, 7600.

Examples

met.ci(sim.m)

[Package ANTs version 0.0.16 Index]