Machine learningNetwork science

Detekcija temporalnih zajednica

Detekcija temporalnih zajednica identifikuje kohezivne grupe (zajednice) u mrežama čija se struktura menja tokom vremena. Tretiranjem svakog vremenskog snimka kao sloja mreže i povezivanjem uzastopnih slojeva, otkriva se kako zajednice nastaju, spajaju se, dele, rastu ili rastvaraju — pretvarajući sekvencu statičkih snimaka u neprekidni narativ o evoluciji grupa.

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Izvori

  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

Kako citirati ovu stranicu

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

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ScholarGateTemporal Community Detection (Temporal Community Detection in Dynamic Networks). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/temporal-community-detection · Skup podataka: https://doi.org/10.5281/zenodo.20539026