leverage: Leverage Centrality

Description Usage Arguments Value Author(s) References Examples

View source: R/NetworkToolbox--master.R

Description

Computes leverage centrlaity of each node in a network (the degree of connected neighbors) (Please see and cite Joyce et al., 2010)

Usage

1
leverage(A, weighted = TRUE)

Arguments

A

An adjacency matrix of network data

weighted

Is the network weighted? Defaults to TRUE. Set to FALSE for unweighted measure of leverage centrality

Value

A vector of leverage centrality values for each node in the network

Author(s)

Alexander Christensen <[email protected]>

References

Joyce, K. E., Laurienti, P. J., Burdette, J. H., & Hayasaka, S. (2010). A new measure of centrality for brain networks. PLoS One, 5(8), e12200.

Examples

1
2
3
4
5
A<-TMFG(neoOpen)$A

weighted_lev<-leverage(A)

unweighted_lev<-leverage(A, weighted=FALSE)

AlexChristensen/NetworkToolbox documentation built on May 6, 2018, 7:39 p.m.