Machine learningNetwork science

Analiza dinamičke modularnosti

Dinamička analiza modularnosti proširuje klasični modularni okvir na mreže koje evoluiraju tokom vremena, detektujući zajednice kroz niz snimaka mreže, istovremeno penalizujući nepotrebne promene zajednica između vremenskih koraka. Ona identifikuje kohezivne grupe i prati kako se one formiraju, spajaju, dele ili rastvaraju, dajući istraživačima principijelan pogled na strukturne promene u longitudinalnim mrežnim podacima.

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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. Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. DOI: 10.1088/1742-5468/2008/10/P10008

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Dynamic Modularity Analysis (Temporal Community Structure Detection). ScholarGate. https://scholargate.app/sr/network-analysis/dynamic-modularity-analysis

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ScholarGateDynamic Modularity Analysis (Dynamic Modularity Analysis (Temporal Community Structure Detection)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/dynamic-modularity-analysis · Skup podataka: https://doi.org/10.5281/zenodo.20539026