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Ajaline haarduvuskesksus

Ajaline haarduvuskesksus laiendab klassikalist haarduvuskesksust võrkudele, mis muutuvad ajas. Arvestades ühenduste järjekorda ja ajastust, tuvastab see sõlmed, mis on mõjukad mitte ainult paljude samaaegsete ühenduste tõttu, vaid ka seetõttu, et nad asuvad järjestikku tähtsate teede ristumiskohas läbi võrgu mitme ajatüki.

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Loe meetodi täielikku kirjeldust

Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Method map

The neighbourhood of related methods — select a node to explore.

Allikad

  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

Kuidas sellele lehele viidata

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

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Sellele viitavad

ScholarGateTemporal Eigenvector Centrality (Temporal Eigenvector Centrality (Dynamic Eigenvector-Based Node Importance in Time-Varying Networks)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/network-analysis/temporal-eigenvector-centrality · Andmestik: https://doi.org/10.5281/zenodo.20539026