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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主要な著者:	Feifei Wang, Zejun Sun, Guan Wang, Haifeng Hu, Xiaoyan Sun, Shimeng Zhang
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2026-02-01
シリーズ:	Scientific Reports
主題:	Complex networks Influential nodes Hierarchical k-shell Extended neighborhood
オンライン･アクセス:	https://doi.org/10.1038/s41598-026-40209-y
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