A generalized gravity model for influential spreaders identification in complex networks

DOI10.1016/j.chaos.2020.110456zbMath1498.91321OpenAlexW3115483671MaRDI QIDQ2129411

Yong Deng, Hanwen Li, Qiuyan Shang

Publication date: 22 April 2022

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

Full work available at URL: https://doi.org/10.1016/j.chaos.2020.110456

zbMATH Keywords

complex networksgeneralized gravity modelinfluential spreaders identification

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Systems biology, networks (92C42)

Related Items

Cascading failure analysis and critical node identification in complex networks ⋮ GPN: A novel gravity model based on position and neighborhood to identify influential nodes in complex networks ⋮ CPR-TOPSIS: a novel algorithm for finding influential nodes in complex networks based on communication probability and relative entropy

Cites Work

• A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks
• Identifying influential spreaders in complex networks based on gravity formula
• Influential nodes ranking in complex networks: an entropy-based approach
• Identifying influential nodes in complex networks from global perspective
• A new method to predict the interference effect in quantum-like Bayesian networks
• A box-covering Tsallis information dimension and non-extensive property of complex networks
• Node similarity measuring in complex networks with relative entropy
• Co-ranking for nodes, layers and timestamps in multilayer temporal networks
• Non-backtracking PageRank: from the classic model to Hashimoto matrices
• Functional immunization of networks based on message passing
• A new status index derived from sociometric analysis
• Universal behavior of cascading failures in interdependent networks
• THE TREATMENT OF TIES IN RANKING PROBLEMS