rdcsbm function

Generates graph adjacency matrix using a degree corrected SBM

rdcsbm returns an adjacency matrix and the cluster labels generated randomly using a Degree Corrected Stochastic Block Model.

rdcsbm(N, pi, mu, betain, betaout)

Arguments

• N: A numeric value the size of the graph to generate
• pi: A numeric vector of length K with clusters proportions. Must sum up to 1.
• mu: A numeric matrix of dim K x K with the connectivity pattern to generate, elements in [0,1].
• betain: A numeric vector of length N which specify the in-degree correction will be normalized per cluster during the generation.
• betaout: A numeric vector of length N which specify the out-degree correction will be normalized per cluster during the generation.

Returns

A list with fields:

• x: the count matrix as a dgCMatrix
• K: number of generated clusters
• N: number of vertex
• cl: vector of clusters labels
• pi: clusters proportions
• mu: connectivity matrix
• betain: normalized in-degree parameters
• betaout: normalized out-degree parameters

Details

It takes the sample size, cluster proportions and emission matrix, and as input and sample a graph accordingly together with the clusters labels.