Machine learningNetwork science

Model diskretnog vremenskog bloka

Model diskretnog vremenskog bloka (TSBM) proširuje klasični model diskretnog bloka na sekvence mrežnih snimaka, zajednički inferirajući latentna grupna članstva i kako se ta članstva razvijaju tokom vremena. Kombinuje generativni model verovatnoće ivica sa Markovljevim procesom nad dodeljivanjima blokova, omogućavajući principijelno statističko otkrivanje grupne strukture koja se menja tokom 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/sr/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 sa https://scholargate.app/sr/network-analysis/temporal-stochastic-block-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026