metanetwork: Create metanetwork for Louvain optimization
In meghapadi/ALPACA:
Description
Usage
Arguments
Value
Examples
Description
Computes the "effective" adjacency matrix of a metanetwork whose nodes represent communities in the larger input matrix.
Usage
1
metanetwork(J, S)
Arguments
J
The modularity matrix
S
The community membership vector from the previous round of agglomeration.
Value
The differential modularity matrix, with rows representing "from" nodes and columns representing "to" nodes.
Examples
1
meghapadi/ALPACA documentation built on May 20, 2019, 6:47 p.m.
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Description Usage Arguments Value Examples
Description
Computes the "effective" adjacency matrix of a metanetwork whose nodes represent communities in the larger input matrix.
Usage
1 | metanetwork(J, S)
|
Arguments
J |
The modularity matrix |
S |
The community membership vector from the previous round of agglomeration. |
Value
The differential modularity matrix, with rows representing "from" nodes and columns representing "to" nodes.
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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