tnet (version 2.6)

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", alpha=1)

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.

alpha

sets the alpha parameter in the generalised measures from Opsahl, T., Agneessens, F., Skvoretz, J., 2010. Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths. Social Networks.

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
network <- 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(network)