| weighted_richclub_w {tnet} | R Documentation |
The weighted rich-club effect
Description
This function calculates the weighted rich-club coefficient proposed in Opsahl, T., Colizza, V., Panzarasa, P., Ramasco, J.J., 2008. Prominence and control: The weighted rich-club effect. PRL 101.
http://toreopsahl.com/2008/12/12/article-prominence-and-control-the-weighted-rich-club-effect/
Usage
weighted_richclub_w(net, rich="k", reshuffle="weights", NR=1000,
nbins=30, seed=NULL, directed=NULL)Arguments
net |
A weighted edgelist |
rich |
specifies the richness parameter, either "k" or "s". |
reshuffle |
specifies the reshuffling procedure used, either "weights" or "links". |
NR |
number of random networks used. |
nbins |
the number of bins in the output |
seed |
the random generators seed, used to produce random yet reproducable results. |
directed |
logical parameter: whether the network is directed or undirected. |
Value
Returns a table with the fraction of phi(observed) over phi(null) for each k or s in the dataset.
Note
version 1.0.0
Author(s)
Tore Opsahl; http://toreopsahl.com
References
Opsahl et al., 2008. Prominence and control: The weighted rich-club effect. PRL 101
http://toreopsahl.com/2008/12/12/article-prominence-and-control-the-weighted-rich-club-effect/
Examples
## Load sample data
sample <- cbind(
i=c(1,1,2,2,2,2,3,3,4,5),
j=c(2,3,1,3,4,5,1,2,2,2),
w=c(4,2,4,4,1,2,2,4,1,2))
## Run the function
weighted_richclub_w(sample, rich="k", reshuffle="weights", NR = 100)