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

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

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

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