multilayernetworkSimulation {AMOUNTAIN} | R Documentation

## Illustration of multi-layer weighted network simulation

### Description

Simulate a multi-layer weighted network with each layer sharing the same set of nodes but different nodes scores

### Usage

    multilayernetworkSimulation(n, k, theta, L)

### Arguments

`n` | number of nodes in each layer of the network
`k` | number of nodes in the conserved module
`theta` | module node score follow the uniform distribution in range [theta,1]
`L` | number of layers

### Value

a list containing all the layers, each as result object of networkSimulation

### Author(s)

Dong Li, dxl466@cs.bham.ac.uk

### See Also

`networkSimulation`

### Examples

    n = 100
    k = 20
    theta = 0.5
    L = 5
    cpl <- multilayernetworkSimulation(n,k,theta,L)
    ## No proper way to visualize it yet

[Package AMOUNTAIN version 1.6.0 Index]