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 (<https://www.arrs.si/>) 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).">

StochBlock: Stochastic Blockmodeling of One-Mode and Linked Networks (original) (raw)

Stochastic blockmodeling of one-mode and linked networks as presented 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 (<https://www.arrs.si/>) 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: 0.1.5
Imports: blockmodeling, doParallel, doRNG, foreach, Rcpp (≥ 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Published: 2025-07-25
DOI: 10.32614/CRAN.package.StochBlock
Author: Aleš Žiberna ORCID iD [aut, cre], Fabio Ashtar TelaricoORCID iD [ctb]
Maintainer: Aleš Žiberna <ales.ziberna at fdv.uni-lj.si>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: StochBlock citation info
In views: NetworkAnalysis
CRAN checks: StochBlock results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=StochBlockto link to this page.