multilayernetworkSimulation: Illustration of multi-layer weighted network simulation

In fairmiracle/AMOUNTAIN: Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach

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, [e-mail]

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

fairmiracle/AMOUNTAIN documentation built on May 16, 2019, 9:59 a.m.