Identifying and ranking super spreaders in real world complex networks without influence overlap-Reference-Cited by-同舟云学术

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Identifying and ranking super spreaders in real world complex networks without influence overlap

Published:2021-10 Issue: Volume:179 Page:115061
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Maji Giridhar,Dutta Animesh,Curado Malta Mariana,Sen Soumya

Funder

Foundation for Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference109 articles.

1. Adamic, L. A., & Glance, N. (2005). The political blogosphere and the 2004 US election: Divided they blog. In Proceedings of the 3rd international workshop on Link discovery (pp. 36–43). ACM. doi: 10.1145/1134271.1134277, 2005.

2. Identification of influential spreaders in complex networks using HybridRank algorithm;Ahajjam;Scientific Reports,2018

3. Identification of influential spreaders in online social networks using interaction weighted K-core decomposition method;Al-garadi;Physica A: Statistical Mechanics and its Applications,2017

4. Interplay between cost and effectiveness in influenza vaccine uptake: a vaccination game approach;Arefin;Proceedings of the Royal Society A,2019

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

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