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StochBlock: Stochastic Blockmodeling of One-Mode and Linked Networks
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).
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Package details |
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| Author | Aleš Žiberna [aut, cre] (<https://orcid.org/0000-0003-1534-6971>), Fabio Ashtar Telarico [ctb] (<https://orcid.org/0000-0002-8740-7078>) |
| Maintainer | Aleš Žiberna <ales.ziberna@fdv.uni-lj.si> |
| License | GPL (>=2) |
| Version | 0.1.5 |
| Package repository | View on R-Forge |
| Installation |
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