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Machine learningNetwork science

Uchambuzi wa Modularityo wa Kina

Uchambuzi wa uhalisia wa moduli huongeza mfumo wa kawaida wa moduli kwenye mitandao ambayo hubadilika kwa wakati, hugundua jamii katika mfuatano wa picha za mtandao huku ikitoza adhabu kwa mabadiliko yasiyo ya lazima ya jamii kati ya hatua za wakati. Hutambua vikundi vikali na hufuatilia jinsi vinavyoundwa, kuungana, kugawanyika, au kufifia, ikiwapa watafiti mtazamo wa kanuni wa mabadiliko ya kimuundo katika data ya mtandao wa muda mrefu.

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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ScholarGateDynamic Modularity Analysis (Dynamic Modularity Analysis (Temporal Community Structure Detection)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/network-analysis/dynamic-modularity-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026