Machine learningNetwork science

Vremenska svojstvena centralnost

Vremenska svojstvena centralnost proširuje klasičnu svojstvenu centralnost na mreže koje se menjaju tokom vremena. Uzimajući u obzir redosled i tajming veza, ona identifikuje čvorove koji su uticajni ne samo zbog mnogih simultanih veza, već zato što se nalaze na raskrsnici sekvencijalno važnih puteva kroz više vremenskih preseka mreže.

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Izvori

  1. Grindrod, P., Parsons, M. C., Higham, D. J., & Estrada, E. (2011). Communicability across evolving networks. Physical Review E, 83(4), 046120. DOI: 10.1103/PhysRevE.83.046120
  2. Taylor, D., Myers, S. A., Clauset, A., Porter, M. A., & Mucha, P. J. (2017). Eigenvector-based centrality measures for temporal networks. Multiscale Modeling and Simulation, 15(1), 537-574. DOI: 10.1137/16M1066142

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Temporal Eigenvector Centrality (Dynamic Eigenvector-Based Node Importance in Time-Varying Networks). ScholarGate. https://scholargate.app/sr/network-analysis/temporal-eigenvector-centrality

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Citirana u

ScholarGateTemporal Eigenvector Centrality (Temporal Eigenvector Centrality (Dynamic Eigenvector-Based Node Importance in Time-Varying Networks)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/temporal-eigenvector-centrality · Skup podataka: https://doi.org/10.5281/zenodo.20539026