RL | R Documentation |
It generates random network considering the selected types of triads.
RL(ideal.net, initial.net, triads = "forb", k = 100, custom.triads = NULL)
ideal.net |
Network with a desired blockmodel without inconsistencies; of class |
initial.net |
Initial network; of class |
triads |
What types of triads has to be considered (allowed |
k |
Number of iterations. |
custom.triads |
A list with names of a subset of triads to be considered. The same names must be used as in ERGM package. Only if |
A list contiainig: new.network
which is the generated network (of class matrix
); and CR
which is
a vector of CR values (calculated after each iteration).
Marjan Cugmas and Aleš Žiberna
Cugmas M, Ferligoj A, Žiberna A (2018) Generating global network structures by triad types. PLoS ONE 13(5): e0197514. https://doi.org/10.1371/journal.pone.0197514
# generate initial and ideal network cohesiveBM <- rbind(c("com", "nul"), c("nul", "com")) ideal <- genNetworkLE(BM = cohesiveBM, LE = 0, size = c(4, 4)) random <- genNetworkLE(BM = cohesiveBM, LE = 1, size = c(4, 4)) # generate network with the RL algorithm generatedNetwork <- RL(ideal.net = ideal, initial.net = random, triads = "all", k = 10)
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