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Den rettede eksponentielle tilfældige grafmodel

Den rettede eksponentielle tilfældige grafmodel (Directed ERGM) er en familie af statistiske modeller for rettede netværk, der estimerer sandsynligheden for at observere en given rettet graf som en funktion af strukturelle konfigurationer — såsom reciprocitet, transitive triader og ind-gradscentralisering — samt node- eller dyadekovariater, hvilket muliggør principiel inferens om de sociale processer, der genererer rettede bånd.

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Kilder

  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

Sådan citerer du denne side

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