normalize.multiplex.adjacency: Computes column normalization of an adjacency matrix
In alberto-valdeolivas/RandomWalkRestartMH: Random walk with restart on multiplex and heterogeneous Networks
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
View source: R/RWRandMatrices.R
Description
normalize.multiplex.adjacency is a function to compute the column
normalization of a sparse matrix of the package Matrix.
Usage
1
Arguments
x
A Matrix object describing an adjacency matrix of a network.
Value
A square sparse column normalized matrix created with the
Matrix package.
Author(s)
Alberto Valdeolivas Urbelz alvaldeolivas@gmail.com
See Also
compute.adjacency.matrix,
Random.Walk.Restart.Multiplex
Examples
1
2
3
4
5
m1 <- igraph::graph(c(1,2,1,3,2,3), directed = FALSE)
m2 <- igraph::graph(c(1,3,2,3,3,4,1,4), directed = FALSE)
multiObject <- create.multiplex(list(m1=m1,m2=m2))
AdjMatrix <- compute.adjacency.matrix(multiObject)
normalize.multiplex.adjacency(AdjMatrix)
alberto-valdeolivas/RandomWalkRestartMH documentation built on Aug. 12, 2021, 8:49 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
View source: R/RWRandMatrices.R
Description
normalize.multiplex.adjacency is a function to compute the column
normalization of a sparse matrix of the package Matrix.
Usage
1 |
Arguments
x |
A |
Value
A square sparse column normalized matrix created with the
Matrix package.
Author(s)
Alberto Valdeolivas Urbelz alvaldeolivas@gmail.com
See Also
compute.adjacency.matrix,
Random.Walk.Restart.Multiplex
Examples
1 2 3 4 5 | m1 <- igraph::graph(c(1,2,1,3,2,3), directed = FALSE)
m2 <- igraph::graph(c(1,3,2,3,3,4,1,4), directed = FALSE)
multiObject <- create.multiplex(list(m1=m1,m2=m2))
AdjMatrix <- compute.adjacency.matrix(multiObject)
normalize.multiplex.adjacency(AdjMatrix)
|
R Package Documentation
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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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