Machine learningNetwork science

Modelu prostornog bloka sa stohastičkim vremenskim odmakom (Temporal Stochastic Block Model)

Modelu prostornog bloka sa stohastičkim vremenskim odmakom (TSBM) proširuje klasični model prostornog bloka na nizove mrežnih snimaka, istovremeno zaključujući latentna članstva zajednica i kako se ta članstva razvijaju tijekom vremena. Kombinira generativni model vjerojatnosti rubova s Markovljevim procesom nad dodjelama blokova, omogućujući principijelno statističko otkrivanje strukture zajednice koja se mijenja tijekom vremena.

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Izvori

  1. Matias, C. & Miele, V. (2017). Statistical clustering of temporal networks through a dynamic stochastic block model. Journal of the Royal Statistical Society: Series B, 79(4), 1119–1141. DOI: 10.1111/rssb.12200
  2. Xu, K. S. & Hero, A. O. (2014). Dynamic stochastic blockmodels for time-evolving social networks. IEEE Journal of Selected Topics in Signal Processing, 8(4), 552–562. DOI: 10.1109/JSTSP.2014.2310294

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Temporal Stochastic Block Model (Dynamic Community Detection via SBM). ScholarGate. https://scholargate.app/hr/network-analysis/temporal-stochastic-block-model

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ScholarGateTemporal Stochastic Block Model (Temporal Stochastic Block Model (Dynamic Community Detection via SBM)). Preuzeto 2026-06-15 s https://scholargate.app/hr/network-analysis/temporal-stochastic-block-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026