centr.closeness: Closeness centralization of weighted network

In hangxiong/wNetwork: Calculate topological characteristics of weighted networks

Description

This function calculates the closeness centralization of a weighted network.

Usage

centr.closeness(edgelist, gconly = TRUE, alpha = 0.5)

Arguments

edgelist	The input weighted edge list.
gconly	The logical scalar indicating whether the function should be only calculated for the giant component. Default is TRUE. If this parameter is set to FALSE, a closeness measure for all nodes is computed.
alpha	Default is 0.5.

Value

Closeness 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.closeness(edg)

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