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Fast network modularity and roles computation by simulated annealing (rgraph C library wrapper for R).
> library(rnetcarto)
> # A general network.
> library(igraphdata,igraph)
> data(karate)
> web = get.adjacency(karate,sparse=FALSE)
> netcarto(web)
[[1]]
name module z-score participation
1 Mr Hi 2 2.13570766 5.390625e-01
2 Actor 2 2 1.40155815 1.975309e-01
3 Actor 3 2 0.30033389 6.200000e-01
4 Actor 4 2 0.66740864 1.110223e-16
5 Actor 5 1 -0.81649658 4.444444e-01
(...)
[[2]]
[1] 0.4197896
> # A bipartite network
> library(bipartite)
> data(vazarr)
> netcarto(vazarr,bipartite=TRUE)
[[1]]
name module z-score participation
1 Aristotelia chilensis 1 0.0000000 0.4444444
2 Alstroemeria aurea 5 0.0000000 0.6805556
3 Schinus patagonicus 1 0.0000000 0.6111111
4 Berberis darwinii 2 1.4142136 0.5000000
5 Vicia nigricans 5 0.0000000 0.5000000
6 Rosa eglanteria 2 -0.7071068 0.4489796
7 Cynanchum diemii 3 0.0000000 0.0000000
8 Ribes magellanicum 2 -0.7071068 0.0000000
9 Mutisia decurrens 4 0.0000000 0.0000000
10 Calceolaria crenatiflora 6 0.0000000 0.0000000
[[2]]
[1] 0.2357462These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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