closeness_w {tnet} | R Documentation |
This function calculates closeness scores for nodes in a weighted network based on the distance_w.
closeness_w(net, directed=NULL, precomp.dist=NULL)
net |
A weighted edgelist |
directed |
Logical: whether the edgelist is directed or undirected. Default is NULL, then the function detects this parameter. |
precomp.dist |
If you have already computed the distance matrix using distance_w, you can enter the name of the matrix object here. |
Returns a data.frame with two columns: the first containts the node ids of all the nodes in the edgelist, and the second containts the corresponding closeness scores.
version 1.0.0
Tore Opsahl; http://toreopsahl.com
http://toreopsahl.com/2009/01/09/average-shortest-distance-in-weighted-networks/
## Load sample data sampledata <- 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 closeness_w(sampledata)