A novel ranking approach for identifying crucial spreaders in complex networks based on Tanimoto Correlation-Reference-Cited by-同舟云学术

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A novel ranking approach for identifying crucial spreaders in complex networks based on Tanimoto Correlation

Published:2024-12 Issue: Volume:255 Page:124513
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Tong Tianchi^ORCID,Yuan Wenying,Jalili Mahdi^ORCID,Dong Qian,Sun Jinsheng^ORCID

Publisher

Elsevier BV

Reference66 articles.

1. Scaling of percolation transitions on erdös-rényi networks under centrality-based attacks;Almeira;Physical Review E,2020

2. Infectious diseases of humans: dynamics and control;Anderson,1992

3. Correlating and predicting psychiatric symptom ratings: Spearmans r versus kendalls tau correlation;Arndt;Journal of Psychiatric Research,1999

4. Identifying and ranking influential spreaders in complex networks by neighborhood coreness;Bae;Physica A. Statistical Mechanics and its Applications,2014

5. A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks;Berahmand;Chaos, Solitons & Fractals,2018

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