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Sentralitas Eigenvektor Temporal

Sentralitas eigenvektor temporal memperluas sentralitas eigenvektor klasik ke jaringan yang berubah seiring waktu. Dengan memperhitungkan urutan dan waktu koneksi, ia mengidentifikasi node yang berpengaruh bukan semata-mata karena banyak koneksi simultan, tetapi karena mereka berada di persimpangan jalur yang penting secara sekuensial di berbagai irisan waktu jaringan.

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Sumber

  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

Cara menyitasi halaman ini

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

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ScholarGateTemporal Eigenvector Centrality (Temporal Eigenvector Centrality (Dynamic Eigenvector-Based Node Importance in Time-Varying Networks)). Diakses 2026-06-15 dari https://scholargate.app/id/network-analysis/temporal-eigenvector-centrality · Set data: https://doi.org/10.5281/zenodo.20539026