Evaluate node importance by decomposing network with a recursive percolation process

DOI10.1142/s0219525924500024zbMATH Open1548.82081MaRDI QIDQ6577738

Ming Li, Hui Wang, Donghui Hu, Run-Ran Liu, Zhen-Yu Yang

Publication date: 24 July 2024

Published in: Advances in Complex Systems (Search for Journal in Brave)

zbMATH Keywords

percolation processnetwork structure analysisimportant node identificationnode rank

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Time-dependent percolation in statistical mechanics (82C43)

Cites Work

• Unnamed Item
• Percolation on complex networks: theory and application
• Networks
• Local structure can identify and quantify influential global spreaders in large scale social networks
• A NEW MEASURE OF RANK CORRELATION

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