centr.betweenness: Betweenness centralization of weighted network

In hangxiong/wNetwork: Calculate topological characteristics of weighted networks

Description

This function calculates the betweenness centralization of a weighted network.

Usage

centr.betweenness(edgelist, directed = FALSE, alpha = 0.5)

Arguments

edgelist	The input weighted edge list.
directed	Logical scalar indicating whether the edge list is directed or undirected.
alpha	Default is 0.5.

Value

Betweenness centralization of the specified network.

Examples

edg <- rbind(c(1,2,4),
c(1,3,2),
c(1,5,3),
c(2,1,4),
c(2,3,4),
c(2,4,1),
c(2,5,2),
c(2,6,1),
c(3,1,2),
c(3,2,4),
c(3,5,3),
c(4,2,1),
c(4,5,2),
c(5,2,2),
c(5,6,1),
c(6,5,1))
centr.betweenness(edg)

hangxiong/wNetwork documentation built on May 17, 2019, 2:28 p.m.