Identifying influential spreaders in reversible process
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DOI: 10.1016/j.chaos.2020.110197
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References listed on IDEAS
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Cited by:
- Wang, Yan & Zhang, Ling & Yang, Junwen & Yan, Ming & Li, Haozhan, 2024. "Multi-factor information matrix: A directed weighted method to identify influential nodes in social networks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
- Yang, Pingle & Meng, Fanyuan & Zhao, Laijun & Zhou, Lixin, 2023. "AOGC: An improved gravity centrality based on an adaptive truncation radius and omni-channel paths for identifying key nodes in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
- Qu, Junyi & Liu, Ying & Tang, Ming & Guan, Shuguang, 2022. "Identification of the most influential stocks in financial networks," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
- Xu, Guiqiong & Meng, Lei, 2023. "A novel algorithm for identifying influential nodes in complex networks based on local propagation probability model," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
- Yin, Haofei & Zhang, Aobo & Zeng, An, 2023. "Identifying hidden target nodes for spreading in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
- Ai, Jun & He, Tao & Su, Zhan & Shang, Lihui, 2022. "Identifying influential nodes in complex networks based on spreading probability," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
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Keywords
Reversible spreading process; Influential spreaders; Single-node control model; Structure-dynamics combined centrality;All these keywords.
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