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Model Blok Rawak Berlapis

Model Blok Rawak Berlapis (ML-SBM) ialah rangka kerja kebarangkalian penjanaan yang melanjutkan model blok rawak klasik kepada rangkaian dengan pelbagai jenis hubungan atau lapisan. Ia secara serentak menyimpulkan struktur komuniti dan kebarangkalian sambungan blok-ke-blok merentasi semua lapisan, menangkap bagaimana komuniti saling berkaitan secara berbeza bergantung pada konteks atau jenis hubungan.

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Sumber

  1. Peixoto, T. P. (2015). Inferring the mesoscale structure of layered, edge-valued, and time-varying networks. Physical Review E, 92(4), 042807. DOI: 10.1103/PhysRevE.92.042807
  2. De Bacco, C., Power, E. A., Larremore, D. B., & Moore, C. (2017). Community detection, link prediction, and layer interdependence in multilayer networks. Physical Review E, 95(4), 042317. DOI: 10.1103/PhysRevE.95.042317

Cara memetik halaman ini

ScholarGate. (2026, June 3). Multilayer Stochastic Block Model (ML-SBM). ScholarGate. https://scholargate.app/ms/network-analysis/multilayer-stochastic-block-model

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ScholarGateMultilayer Stochastic Block Model (Multilayer Stochastic Block Model (ML-SBM)). Dicapai 2026-06-15 daripada https://scholargate.app/ms/network-analysis/multilayer-stochastic-block-model · Set data: https://doi.org/10.5281/zenodo.20539026