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Temporal Community Detection

Temporal community detection identificerer kohæsive grupper (fællesskaber) i netværk, hvis struktur ændrer sig over tid. Ved at behandle hvert tidsøjeblik som et netværkslag og koble successive lag sammen afslører den, hvordan fællesskaber dannes, fusionerer, splittes, vokser eller opløses – hvilket omdanner en sekvens af statiske øjebliksbilleder til en kontinuerlig fortælling om gruppeudvikling.

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Kilder

  1. Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980), 876–878. DOI: 10.1126/science.1184819
  2. Rossetti, G., & Cazabet, R. (2018). Community discovery in dynamic networks: A survey. ACM Computing Surveys, 51(2), 1–37. DOI: 10.1145/3172867

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ScholarGate. (2026, June 3). Temporal Community Detection in Dynamic Networks. ScholarGate. https://scholargate.app/da/network-analysis/temporal-community-detection

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ScholarGateTemporal Community Detection (Temporal Community Detection in Dynamic Networks). Hentet 2026-06-15 fra https://scholargate.app/da/network-analysis/temporal-community-detection · Datasæt: https://doi.org/10.5281/zenodo.20539026