Machine learningNetwork science

Multilayer Closeness Centrality

Multilayer closeness centrality proširuje klasičnu meru bliskosti na mreže koje sadrže više tipova odnosa ili konteksta interakcije (slojeva). Umesto da se svaki sloj tretira izolovano, ona izračunava koliko brzo čvor može da dosegne sve ostale, prelazeći bilo koju kombinaciju dostupnih slojeva, otkrivajući čvorove koji su strukturno efikasni konektori u celokupnom mrežnom sistemu.

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Izvori

  1. Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI: 10.1093/comnet/cnu016
  2. Sole-Ribalta, A., De Domenico, M., Kouvaris, N. E., Diaz-Guilera, A., Gomez, S., & Arenas, A. (2013). Spectral properties of the Laplacian of multiplex networks. Physical Review E, 88(3), 032807. DOI: 10.1103/PhysRevE.88.032807

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Multilayer Closeness Centrality (Generalized Closeness for Multilayer Networks). ScholarGate. https://scholargate.app/sr/network-analysis/multilayer-closeness-centrality

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Citirana u

ScholarGateMultilayer Closeness Centrality (Multilayer Closeness Centrality (Generalized Closeness for Multilayer Networks)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/multilayer-closeness-centrality · Skup podataka: https://doi.org/10.5281/zenodo.20539026