Machine learningNetwork science

Težinska centralnost između (Weighted Betweenness Centrality)

Težinska centralnost između proširuje Freemanovu meru između na grafove sa težinama na granama usmeravanjem najkraćih puteva kroz podesivu transformaciju težina grana. Čvorovi koji se nalaze na mnogim najkraćim putevima visoke vrednosti dobijaju visoke rezultate, identifikujući posrednike i mostove u društvenim, biološkim i informacionim mrežama gde jačina veze ima značaj.

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Izvori

  1. Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245–251. DOI: 10.1016/j.socnet.2010.03.006
  2. Brandes, U. (2001). A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25(2), 163–177. DOI: 10.1080/0022250X.2001.9990249

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Weighted Betweenness Centrality (Geodesic Path-Count on Edge-Weighted Graphs). ScholarGate. https://scholargate.app/sr/network-analysis/weighted-betweenness-centrality

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Citirana u

ScholarGateWeighted Betweenness Centrality (Weighted Betweenness Centrality (Geodesic Path-Count on Edge-Weighted Graphs)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/weighted-betweenness-centrality · Skup podataka: https://doi.org/10.5281/zenodo.20539026