rCollectSBM: Simulate a sample of networks of a stochastic block model

In graphclust: Hierarchical Graph Clustering for a Collection of Networks

Simulate a sample of networks of a stochastic block model

Description

Simulate a sample of networks of a stochastic block model

Usage

rCollectSBM(vec_n, theta, directed = TRUE)

Arguments

vec_n	vector with number of vertices
theta	stochastic block model parameter with latent group probabilities $pi and connectivy parameters $gamma
directed	directed networks (TRUE by default) or undirected (FALSE)

Value

list with a list of adjacency matrices ($listGraphs) and a list of node labels ($listLatentZ)

Examples

theta1 <- list(pi=c(.5,.5), gamma=matrix((1:4)/8,2,2))
rCollectSBM(2:4, theta1)

graphclust documentation built on June 7, 2023, 5:18 p.m.