genNetworkLE {nemBM}

Relocating Links algorithm (RL algorithm)

Description

Generate network with a selected blockmodel and level or errors. See details section.

Usage

genNetworkLE(BM = BM, LE = 0.4, size = NULL, symmetric = FALSE)

Arguments

BM

An image matrix of a blockmodel; of class matrix with possible values "nul" and "com".

LE

Desired level of errors.

size

A vector with the values specifying clusters' sizes. The number of elements of this vector must be the same as the number of clusters specified by an image matrix.

symmetric

Wheter a symmetric network should be generated.

Details

The level of errors (LE) is used to simulate the extent of inconsistencies in blockmodels. It is defined on a scale between 0 and 1, where 0 corresponds to an ideal blockmodel, and 1 corresponds to a totally randomised network with the same density as in the ideal blockmodel.

Value

A binary network (of class matrix) with selected blockmodel type and level of errors.

Author(s)

Marjan Cugmas

References

Cugmas, M., Žiberna, A., & Ferligoj, A. (2021). The Relative Fit measure for evaluating a blockmodel. Statistical Methods & Applications, 30(5), 1315-1335.

Examples

cohesiveBM <- rbind(c("com", "nul"), c("nul", "com"))
network <- genNetworkLE(BM = cohesiveBM, LE = 0.5, size = c(5, 3))