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Model Graf Eksponensial Rawak Terarah

Model Graf Eksponensial Rawak Terarah (Directed ERGM) ialah satu keluarga model statistik untuk rangkaian terarah yang menganggarkan kebarangkalian pemerhatian graf terarah yang diberi sebagai fungsi konfigurasi struktur — seperti timbal balik, triad transitif, dan pemusatan darjah masuk — serta kovariat nodus atau dyad, membolehkan inferens prinsipal tentang proses sosial yang menjana ikatan terarah.

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Sumber

  1. Robins, G., Pattison, P., Kalish, Y. & Lusher, D. (2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2), 173-191. DOI: 10.1016/j.socnet.2006.08.002
  2. Frank, O. & Strauss, D. (1986). Markov graphs. Journal of the American Statistical Association, 81(395), 832-842. DOI: 10.2307/2289017

Cara memetik halaman ini

ScholarGate. (2026, June 3). Directed Exponential Random Graph Model (Directed ERGM / p* Model for Directed Networks). ScholarGate. https://scholargate.app/ms/network-analysis/directed-exponential-random-graph-model

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ScholarGateDirected Exponential Random Graph Model (Directed Exponential Random Graph Model (Directed ERGM / p* Model for Directed Networks)). Dicapai 2026-06-15 daripada https://scholargate.app/ms/network-analysis/directed-exponential-random-graph-model · Set data: https://doi.org/10.5281/zenodo.20539026