WBM.louvain: Generalized Louvain method for bipartite networks
In meghapadi/ALPACA:
Description
Usage
Arguments
Value
Examples
Description
This function implements a generalized form of the Louvain method for weighted bipartite networks.
Usage
1
WBM.louvain(net.frame)
Arguments
net.frame
A table of edges, with the first column representing the TFs ("from" nodes) and the second column representing the targets ("to" nodes). The third column contains the edge weights corresponding to the network of interest.
Value
List where first element is the community membership vector and second element is the contribution score of each node to its community's portion of the bipartite modularity.
Examples
1
meghapadi/ALPACA documentation built on May 20, 2019, 6:47 p.m.
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Description Usage Arguments Value Examples
Description
This function implements a generalized form of the Louvain method for weighted bipartite networks.
Usage
1 | WBM.louvain(net.frame)
|
Arguments
net.frame |
A table of edges, with the first column representing the TFs ("from" nodes) and the second column representing the targets ("to" nodes). The third column contains the edge weights corresponding to the network of interest. |
Value
List where first element is the community membership vector and second element is the contribution score of each node to its community's portion of the bipartite modularity.
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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