tnet (version 0.1.2)

degree_w: Degree centrality in a weighted network

Description

This function calculates two degree measures: the number of contacts that a node is connected to, and the sum of weights on ties originating from a node (out-strength). To calculate the reverse (in-degree, in-strength), specify type="in".

Usage

degree_w(net,measure=c("degree","output"), type="out")

Arguments

net

A weighted edgelist

measure

specifies which measures should be calculated

type

shall out- or in-measures be calculated? Default is out. For undirected networks, this setting is irrelevant, but must be specified.

Value

• Returns a data.frame with two or three columns: the first containts the node ids of all the nodes in the edgelist, and the second and/or third containt the corresponding degree and/or strength scores.

References

http://toreopsahl.com/2008/11/28/network-weighted-network/

Examples

## Load sample data
sample.network.1 <- rbind(
c(1,2,4),
c(1,3,2),
c(2,1,4),
c(2,3,4),
c(2,4,1),
c(2,5,2),
c(3,1,2),
c(3,2,4),
c(4,2,1),
c(5,2,2),
c(5,6,1),
c(6,5,1))

## Run the programme
degree_w(sample.network.1)