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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: Feifei Wang, Zejun Sun, Guan Wang, Haifeng Hu, Xiaoyan Sun, Shimeng Zhang
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Portfolio 2026-02-01
Colección:Scientific Reports
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Acceso en línea:https://doi.org/10.1038/s41598-026-40209-y
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