create.multiplexNetwork.topResults {RandomWalkRestartMH} | R Documentation

## Creates a Network with the top results of the Random Walk with restart on a Multiplex Network

### Description

`create.multiplexNetwork.topResults` is a function to create a network from the top results of the Random Walk with Restart on Multiplex networks algorithm (a `RWRM_Results` object).

### Usage

    create.multiplexNetwork.topResults(RWRM_Result_Object,
        MultiplexObject,k=25)

### Arguments

`RWRM_Result_Object` | A `RWRM_Results` object generated by the function `Random.Walk.Restart.Multiplex` representing the results of the Random Ralk with restart on the multiplex network described in the following argument.
`MultiplexObject` | A `Multiplex` object generated by the function `create.multiplex` representing a multiplex network.
`k` | A numeric value between 1 and 200. It is the number of top ranked nodes to be included in the resulting multiplex network.

### Value

An `igraph` object containing the top `k` ranked multiplex nodes in the Random Walk with Restart on a Multiplex network algorithm. We include all the possible types of interactions between pairs of nodes according to the different layers of the multiplex network.

### Author(s)

Alberto Valdeolivas Urbelz alvaldeolivas@gmail.com

### See Also

`create.multiplex, Random.Walk.Restart.Multiplex isRWRM_Results, create.multiplexHetNetwork.topResults`

### Examples

    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)
    AdjMatrixNorm <- normalize.multiplex.adjacency(AdjMatrix)
    Seed <- c(1)
    RWR_MultiResults <-
        Random.Walk.Restart.Multiplex(AdjMatrixNorm, multiObject, Seed)
    create.multiplexNetwork.topResults(RWR_MultiResults,multiObject)

[Package RandomWalkRestartMH version 1.14.0 Index]