Machine learningNetwork science

Težinski stohastički blok-model

Težinski stohastički blok-model (W-SBM) proširuje klasični stohastički blok-model na mreže čiji bridovi nose numeričke težine. Pretpostavljajući da težine bridova između parova čvorova proizlaze iz distribucija koje ovise o pripadnosti tih čvorova blokovima, on istovremeno zaključuje particiju čvorova u zajednice i skup parametara težina od bloka do bloka – povratom strukture nevidljive neponderiranim metodama.

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Izvori

  1. Aicher, C., Jacobs, A. Z., & Clauset, A. (2014). Learning latent block structure in weighted networks. Journal of Complex Networks, 3(2), 221–248. DOI: 10.1093/comnet/cnu026
  2. Nowicki, K., & Snijders, T. A. B. (2001). Estimation and prediction for stochastic blockstructures. Journal of the American Statistical Association, 96(455), 1077–1087. DOI: 10.1198/016214501753208735

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Weighted Stochastic Block Model (W-SBM). ScholarGate. https://scholargate.app/hr/network-analysis/weighted-stochastic-block-model

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ScholarGateWeighted Stochastic Block Model (Weighted Stochastic Block Model (W-SBM)). Preuzeto 2026-06-15 s https://scholargate.app/hr/network-analysis/weighted-stochastic-block-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026