Machine learningNetwork science

Usmereni model eksponencijalne slučajne mreže

Usmereni model eksponencijalne slučajne mreže (Directed ERGM) je porodica statističkih modela za usmerene mreže koji procenjuje verovatnoću posmatranja date usmerene mreže kao funkciju strukturnih konfiguracija — kao što su reciprocitet, tranzitivne trijade i centralizacija ulaznog stepena — i kovarijata čvorova ili dijada, omogućavajući principijelno zaključivanje o društvenim procesima koji generišu usmerene veze.

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Izvori

  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

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Directed Exponential Random Graph Model (Directed ERGM / p* Model for Directed Networks). ScholarGate. https://scholargate.app/sr/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)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/directed-exponential-random-graph-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026