A novel centrality measure for identifying influential nodes based on minimum weighted degree decomposition

DOI10.1142/S0217979221502519zbMath1490.05252OpenAlexW3198601015MaRDI QIDQ5068275

Yu-Hong Guo, Zhiru Zhang, Ya-Hong Chen, Pengli Lu

Publication date: 6 April 2022

Published in: International Journal of Modern Physics B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217979221502519

zbMATH Keywords

complex networksglobal influence capabilitylocal influentialityminimum weighted degree decompositionsusceptible-infected-recovered (SIR) model

Mathematics Subject Classification ID

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

Uses Software

• KONECT

Cites Work

• A Mathematical Theory of Communication
• Identifying and ranking influential spreaders in complex networks by neighborhood coreness
• Link prediction based on feature representation and fusion
• The centrality index of a graph
• Collective dynamics of ‘small-world’ networks
• A NEW MEASURE OF RANK CORRELATION
• THE TREATMENT OF TIES IN RANKING PROBLEMS

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