A modified weighted TOPSIS to identify influential nodes in complex networks

DOI10.1016/j.physa.2015.09.028zbMath1400.92489OpenAlexW1890189454WikidataQ57852259 ScholiaQ57852259MaRDI QIDQ1619021

Hongming Mo, Yong Deng, Daijun Wei, Yuxian Du, Jiantao Hu

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2015.09.028

zbMATH Keywords

complex networksSIR modelcentrality measuresinfluential nodesweighted TOPSIS

Mathematics Subject Classification ID

Epidemiology (92D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82)

Related Items (6)

Dynamic malware containment under an epidemic model with alert ⋮ Identifying influential nodes in complex networks based on AHP ⋮ A novel method to evaluate node importance in complex networks ⋮ A comparison between TOPSIS and SAW methods ⋮ OPINION-AWARE INFLUENCE MAXIMIZATION: HOW TO MAXIMIZE A FAVORITE OPINION IN A SOCIAL NETWORK? ⋮ A modified TOPSIS with a different ranking index

Uses Software

• MADM

Cites Work

• Ranking the spreading ability of nodes in complex networks based on local structure
• The centrality index of a graph
• A new method for comparing rankings through complex networks: Model and analysis of competitiveness of major European soccer leagues
• A method for 2-tuple linguistic dynamic multiple attribute decision making with entropy weight
• An improved method to rank generalized fuzzy numbers with different left heights and right heights
• Collective dynamics of ‘small-world’ networks
• A Non-Parametric Test of Independence
• THE TREATMENT OF TIES IN RANKING PROBLEMS

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