StochBlock: Stochastic Blockmodeling of One-Mode and Linked Networks

Stochastic blockmodeling of one-mode and linked networks as implemented in Škulj and Žiberna (2022) <doi:10.1016/j.socnet.2022.02.001>. The optimization is done via CEM (Classification Expectation Maximization) algorithm that can be initialized by random partitions or the results of k-means algorithm. The development of this package is financially supported by the Slovenian Research Agency (<>) within the research programs P5-0168 and the research projects J7-8279 (Blockmodeling multilevel and temporal networks) and J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).

Version: 0.1.2
Imports: blockmodeling, doParallel, doRNG, foreach, Rcpp (≥ 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Published: 2023-01-24
DOI: 10.32614/CRAN.package.StochBlock
Author: Aleš Žiberna ORCID iD [aut, cre], Fabio Ashtar Telarico ORCID iD [ctb]
Maintainer: Aleš Žiberna <ales.ziberna at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Citation: StochBlock citation info
CRAN checks: StochBlock results


Reference manual: StochBlock.pdf


Package source: StochBlock_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): StochBlock_0.1.2.tgz, r-oldrel (arm64): StochBlock_0.1.2.tgz, r-release (x86_64): StochBlock_0.1.2.tgz, r-oldrel (x86_64): StochBlock_0.1.2.tgz


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