Identifying influential nodes through hierarchical k-shell and extended neighborhood integration
Abstract The identification of influential nodes has extensive applications in complex network research. To address the challenge of balancing accuracy and computational efficiency in existing methods, this paper proposes an algorithm named HKEN that integrates hierarchical k-shell decomposition wit...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Portfolio
2026-02-01
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| Colección: | Scientific Reports |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1038/s41598-026-40209-y |
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