Extract Node Community Membership by Edges

This function returns the number of edges node(s) contain in each community.

numberEdgesIn(x, clusterids = 1:x$numbers[3], nodes)

Arguments

x	An object of class linkcomm or OCG.
clusterids	An integer vector of community IDs. Defaults to all communities.
nodes	A character vector specifying node(s) for which edge membership should be returned.

Value

A named list of named integer vectors specifying the number of edges in each community a node belongs in. Names of the integer vectors are community IDs, and names of the list are node names.

References

Kalinka, A.T. and Tomancak, P. (2011). linkcomm: an R package for the generation, visualization, and analysis of link communities in networks of arbitrary size and type. Bioinformatics 27, 2011-2012.

Author

Alex T. Kalinka alex.t.kalinka@gmail.com

Examples

## Generate graph and extract OCG communities.
g <- swiss[,3:4]
oc <- getOCG.clusters(g)
#> Calculating Initial class System....Done
#> Nb. of classes 21
#> Nb. of edges not within the classes 11
#> Number of initial classes 21
#> Running....
#> Remaining classes: 20 of 21     
Remaining classes: 10 of 21     
Remaining classes: None                 
#> Reading OCG data...
#> Extracting cluster sizes... 5% 
Extracting cluster sizes... 11% 
Extracting cluster sizes... 17% 
Extracting cluster sizes... 23% 
Extracting cluster sizes... 29% 
Extracting cluster sizes... 35% 
Extracting cluster sizes... 41% 
Extracting cluster sizes... 47% 
Extracting cluster sizes... 52% 
Extracting cluster sizes... 58% 
Extracting cluster sizes... 64% 
Extracting cluster sizes... 70% 
Extracting cluster sizes... 76% 
Extracting cluster sizes... 82% 
Extracting cluster sizes... 88% 
Extracting cluster sizes... 94% 
Extracting cluster sizes... 100% 

## Get edges from community 1.
numberEdgesIn(oc, nodes = 1)
#>    Getting node community edge density...100%
#> $`1`
#> 1 
#> 1 
#>