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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).

Versions across snapshots

VersionRepositoryFileSize
0.1.5 rolling linux/jammy R-4.5 StochBlock_0.1.5.tar.gz 175.7 KiB
0.1.5 rolling linux/noble R-4.5 StochBlock_0.1.5.tar.gz 178.0 KiB
0.1.5 rolling source/ R- StochBlock_0.1.5.tar.gz 33.2 KiB
0.1.5 latest linux/jammy R-4.5 StochBlock_0.1.5.tar.gz 175.7 KiB
0.1.5 latest linux/noble R-4.5 StochBlock_0.1.5.tar.gz 178.0 KiB
0.1.5 latest source/ R- StochBlock_0.1.5.tar.gz 33.2 KiB
0.1.5 2026-04-26 source/ R- StochBlock_0.1.5.tar.gz 33.2 KiB
0.1.5 2026-04-23 source/ R- StochBlock_0.1.5.tar.gz 33.2 KiB
0.1.5 2026-04-09 windows/windows R-4.5 StochBlock_0.1.5.zip 583.6 KiB
0.1.2 2025-04-20 source/ R- StochBlock_0.1.2.tar.gz 31.6 KiB

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