A general Markov chain approach for disease and rumour spreading in complex networks-Reference-Cited by-同舟云学术

A general Markov chain approach for disease and rumour spreading in complex networks

Published:2017-08-02 Issue:2 Volume:6 Page:215-242
ISSN:2051-1310
Container-title:Journal of Complex Networks
language:en
Short-container-title:

Author:

Ferraz de Arruda Guilherme¹,Aparecido Rodrigues Francisco¹,Martín Rodríguez Pablo¹,Cozzo Emanuele²,Moreno Yamir³

Affiliation:

1. Departamento de Matemática Aplicada e Estatística, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo—Campus de São Carlos, Caixa Postal 668, 13560-970 São Carlos, SP, Brazil

2. Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50018 Zaragoza, Spain and Department of Theoretical Physics, University of Zaragoza, 50018 Zaragoza, Spain

3. Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50018 Zaragoza, Spain, Department of Theoretical Physics, University of Zaragoza, 50018 Zaragoza, Spain and Complex Networks and Systems Lagrange Lab, Institute for Scientific Interchange, Turin, Italy

Funder

CNPq

MINECO

FEDER

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Computational Mathematics,Control and Optimization,Management Science and Operations Research,Computer Networks and Communications

Link

http://academic.oup.com/comnet/article-pdf/6/2/215/24452270/cnx024.pdf

Reference38 articles.

1. Epidemic processes in complex networks.;Pastor-Satorras,;Rev. Mod. Phys.,,2015

2. Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena.;Gleeson,;Phys. Rev. X,,2016

3. Networks and epidemic models.;Keeling,;J. Roy. Soc. Interface,,2005

4. Complex networks: structure and dynamics.;Boccaletti,;Phys. Rep.,,2006

5. Emergence of scaling in random networks.;Barabási,;Science,,1999

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probabilistic Discrete‐Time Models for Spreading Processes in Complex Networks: A Review;Annalen der Physik;2024-07-24

2. The impact of effective participation in stopping misinformation: an approach based on branching processes;J STAT MECH-THEORY E;2024

3. IMine: A CUSTOMIZABLE FRAMEWORK FOR INFLUENCE MINING IN COMPLEX NETWORKS;Advances in Complex Systems;2024-03

4. Exactly Optimal Quickest Change Detection of Markov Chains;IEEE Control Systems Letters;2023

5. Competitive Influence Minimization in Multi-Group Social Networks: An Opinion-Based Solution;IEEE Transactions on Network Science and Engineering;2022-07-01