rSBM: Sample of a binary Stochastic Block Model (SBM)

In jchiquet/rggm: draw gaussian data from a sampled graphical model

Description

This function samples a realization of a stochastic block model from a set a user-defined parameters in a igraĥ format.

Usage

rSBM(nbNodes, connectParam, blockProp)

Arguments

nbNodes	number of nodes in the graph
connectParam	inter and intra block connection probabilities
blockProp	proportion of node in each block of the SBM

Value

an igraph object with a vertex attribute called "memberships" for block belonging

Examples

## graph parameters
nNodes  <- 90
blockProp <- c(.5, .25, .25)   # group proportions
nbBlock   <- length(blockProp) # number of blocks
connectParam <- diag(.4, nbBlock) + 0.05 # connectivity matrix: affiliation network

## Graph Sampling
mySBM <- rSBM(nNodes, connectParam, blockProp)

## Graph plotting
plot(mySBM, vertex.color = igraph::V(mySBM)$memberships)

jchiquet/rggm documentation built on April 5, 2020, 1:53 a.m.