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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Autori principali:	Feifei Wang, Zejun Sun, Guan Wang, Haifeng Hu, Xiaoyan Sun, Shimeng Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-02-01
Serie:	Scientific Reports
Soggetti:	Complex networks Influential nodes Hierarchical k-shell Extended neighborhood
Accesso online:	https://doi.org/10.1038/s41598-026-40209-y
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