multilayer.modularity.matrix: multilayer.modularity.matrix
In jdwilson4/MultilayerExtraction:
Description
Usage
Arguments
Value
Author(s)
References
Description
Function that calculates the modularity matrix for each layer in a multilayer network
Usage
1
multilayer.modularity.matrix(adjacency, directed = FALSE)
Arguments
adjacency:
an edgelist. Use adjacency.to.edgelist function to obtain this object
Value
mod.matrix: an igraph object representing the modularity matrix for each layer
Author(s)
James D. Wilson
References
Wilson, James D., Palowitch, John, Bhamidi, Shankar, and Nobel, Andrew B. (2017) "Significance based
extraction in multilayer networks with heterogeneous community structure." Journal of Machine Learning Research
jdwilson4/MultilayerExtraction documentation built on May 18, 2019, 11:39 p.m.
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Description Usage Arguments Value Author(s) References
Description
Function that calculates the modularity matrix for each layer in a multilayer network
Usage
1 | multilayer.modularity.matrix(adjacency, directed = FALSE)
|
Arguments
adjacency: |
an edgelist. Use adjacency.to.edgelist function to obtain this object |
Value
mod.matrix: an igraph object representing the modularity matrix for each layer
Author(s)
James D. Wilson
References
Wilson, James D., Palowitch, John, Bhamidi, Shankar, and Nobel, Andrew B. (2017) "Significance based extraction in multilayer networks with heterogeneous community structure." Journal of Machine Learning Research
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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