Identifying influential nodes in complex networks from global perspective

DOI10.1016/j.chaos.2020.109637zbMath1483.90039OpenAlexW3003596513MaRDI QIDQ2120396

Yong Deng, Yunchuan Wang, Jie Zhao

Publication date: 31 March 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2020.109637

zbMATH Keywords

complex networksSI modelglobal importanceinfluential nodesunweighted network

Mathematics Subject Classification ID

Epidemiology (92D30) Social networks; opinion dynamics (91D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Deterministic network models in operations research (90B10)

Related Items (5)

A generalized gravity model for influential spreaders identification in complex networks ⋮ An effective heuristic clustering algorithm for mining multiple critical nodes in complex networks ⋮ Influential node detection of social networks based on network invulnerability ⋮ A measure of identifying influential community based on the state of critical functionality ⋮ Identifying vital nodes in complex networks based on information entropy, minimum dominating set and distance

Cites Work

• Statistical physics of vaccination
• A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks
• Identifying influential spreaders by weighted leaderrank
• The effect of multigame on cooperation in spatial network
• Identifying influential nodes in complex networks based on AHP
• Identifying node importance based on evidence theory in complex networks
• A novel visibility graph transformation of time series into weighted networks
• Evidential identification of influential nodes in network of networks
• Universal behavior of cascading failures in interdependent networks
• THE TREATMENT OF TIES IN RANKING PROBLEMS

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