degree_w function

Degree centrality in a weighted network

Degree centrality in a weighted network

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".

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. If this parameter is set to 1 (default), the sum of tie weights is used. This measure simply use the tie weights and disregards the number of nodes on the paths.

Returns

Returns a data.frame with two or more columns: the first column contains the nodes' ids, and the remaining columns contain the scores of the measures specified in the measure-parameter.

References

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

Author(s)

Tore Opsahl; http://toreopsahl.com

Note

version 1.0.0

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)