Machine learningNetwork science

Analiza ponderisane modularnosti

Analiza ponderisane modularnosti proširuje klasičnu meru modularnosti Newman-Girvan na mreže gde ivice nose numeričke jačine (učestalosti, intenzitete, troškove). Zamenom binarnog susedstva težinama veza, ona pronalazi podele zajednica koje odražavaju koliko su gusto povezani podgrupe u poređenju sa očekivanim pod ponderisanim nul modelom, dajući nijansiranije grupacije od neponderisanih pristupa na podacima gde jačina ivice značajno varira.

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Izvori

  1. Newman, M. E. J. (2004). Analysis of weighted networks. Physical Review E, 70(5), 056131. DOI: 10.1103/PhysRevE.70.056131
  2. Newman, M. E. J. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences, 103(23), 8577–8582. DOI: 10.1073/pnas.0601602103

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Weighted Modularity Analysis (Q-weighted community structure detection). ScholarGate. https://scholargate.app/sr/network-analysis/weighted-modularity-analysis

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ScholarGateWeighted Modularity Analysis (Weighted Modularity Analysis (Q-weighted community structure detection)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/weighted-modularity-analysis · Skup podataka: https://doi.org/10.5281/zenodo.20539026