Package: StochBlock 0.1.2

Aleš Žiberna

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 (<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).

Authors:Aleš Žiberna [aut, cre], Fabio Ashtar Telarico [ctb]

StochBlock_0.1.2.tar.gz
StochBlock_0.1.2.tar.gz(r-4.5-noble)StochBlock_0.1.2.tar.gz(r-4.4-noble)
StochBlock_0.1.2.tgz(r-4.4-emscripten)StochBlock_0.1.2.tgz(r-4.3-emscripten)
StochBlock.pdf |StochBlock.html✨
StochBlock/json (API)

Peer review:

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6 exports 0.00 score 12 dependencies 213 downloads

Last updated 2 years agofrom:03dd47306b. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:findActiveParamICLStochBlockllStochBlockstochBlockstochBlockKMintstochBlockORP

Dependencies:blockmodelingcodetoolsdigestdoParalleldoRNGforeachiteratorslatticeMatrixRcppRcppArmadillorngtools