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Bayesiansk mellemhedscentralitet

Bayesiansk mellemhedscentralitet estimerer, hvor ofte en knude ligger på korteste stier i et netværk, mens den eksplicit kvantificerer usikkerhed, der opstår fra ufuldstændige, samplede eller støjende kantobservationer. I stedet for at producere et enkelt punktestimat, giver den en posterior fordeling over mellemhedsscores, hvilket muliggør troværdige intervaller og probabilistiske sammenligninger mellem knuder.

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Kilder

  1. Newman, M.E.J. (2010). Networks: An Introduction. Oxford University Press. ISBN: 978-0-19-920665-0
  2. Fortunato, S., Bergstrom, C.T., Borner, K., Evans, J.A., Helbing, D., Milojevi, S., Petersen, A.M., Radicchi, F., Sinatra, R., Uzzi, B., Vespignani, A., Waltman, L., Wang, D. & Barabasi, A.-L. (2018). Science of science. Science, 359(6379), eaao0185. DOI: 10.1126/science.aao0185

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ScholarGate. (2026, June 3). Bayesian Betweenness Centrality (Probabilistic Inference of Shortest-Path Centrality). ScholarGate. https://scholargate.app/da/network-analysis/bayesian-betweenness-centrality

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ScholarGateBayesian Betweenness Centrality (Bayesian Betweenness Centrality (Probabilistic Inference of Shortest-Path Centrality)). Hentet 2026-06-15 fra https://scholargate.app/da/network-analysis/bayesian-betweenness-centrality · Datasæt: https://doi.org/10.5281/zenodo.20539026