genRandomPar: The function for generating random partitions

In blockmodeling: Generalized and Classical Blockmodeling of Valued Networks

The function for generating random partitions

Description

The function generates random partitions. The function is meant to be called by the function optRandomParC.

Usage

genRandomPar(
  k,
  n,
  seed = NULL,
  mingr = 1,
  maxgr = Inf,
  addParam = list(genPajekPar = TRUE, probGenMech = NULL)
)

Arguments

k	Number of clusters (by modes).
n	Number of units (by modes).
seed	Seed for generating random numbers (partitions).
mingr	Minimal allowed group size.
maxgr	Maximal allowed group size.
addParam	This has to be a list with the following parameters (any or all can be missing, then the default values (see usage) are used): "genPajekPar" - Should the partitions be generated as in Pajek (Batagelj & Mrvar, 2006). If FALSE, all partitions are selected completely at random while making sure that the partitions have the required number of clusters. probGenMech - Here the probabilities for 4 different generating mechanisms can be specified. If this is not specified, the value is set to c(1/3, 1/3, 1/3, 0) if genPajekPar is TRUE and to c(0, 0, 0, 1) if genPajekPar is FALSE. The first 3 mechanisms are the same as implemented in Pajek (the second one has almost all units in only one cluster) and the fourth is completely random (from uniform distribution).

Value

A random partition in the format required by optRandomParC. If a network has several modes, then a list of partitions, one for each mode.

Author(s)

Aleš Žiberna

References

Batagelj, V., & Mrvar, A. (2006). Pajek 1.11. Retrieved from http://vlado.fmf.uni-lj.si/pub/networks/pajek/

blockmodeling documentation built on Aug. 23, 2023, 5:07 p.m.