RL: Relocating Links algorithm (RL algorithm)

In nem: Generating networks with selected blockmodel

Description

The function generate random network considering the selected types of triads.

Usage

RL(ideal.net, initial.net, triads = "forb", k = 100, custom.triads = NULL)

Arguments

ideal.net	Network with an ideal (desired) blockmodel; of class matrix.
initial.net	Initial network; of class matrix.
triads	Which types of triads has to be considered (allowed allow, forbidden forb, all all or custom cust).
k	Number of iterations.
custom.triads	Additional terms to be considered. Only if terms = "cust".

Value

A list contiainig: new.network which is the generated network; and CR which is a vector of CR values (a value is calculated after each iteration).

Author(s)

Marjan Cugmas

Source

Cugmas M, Ferligoj A, ?iberna A (2018) Generating global network structures by triad types. PLoS ONE 13(5): e0197514. https://doi.org/10.1371/journal.pone.0197514

Examples

# generate initial and ideal network
cohesiveBM <- rbind(c("com", "nul"), c("nul", "com"))
ideal <- gen.network.LE(BM = cohesiveBM, LE = 0, n = 12, size = rep(0.5, 2))
random <- gen.network.LE(BM = cohesiveBM, LE = 1, n = 12, size = rep(0.5, 2))
# generate network with the RL algorithm
generatedNetwork <- RL(ideal.net = ideal, initial.net = random, triads = "all", k = 1000)
# evaluate the obtained network
res <- blockmodeling::optRandomParC(M = generatedNetwork[[1]], k = 2, approaches = "bin", blocks = c("null", "com"), rep = 1000, nCores = 1)

nem documentation built on April 23, 2021, 3 p.m.