Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading Dynamics

We propose a model of concurrent three-state spreading dynamics on multiplex networks to study the co-evolution process of epidemic spreading and information diffusion. The spreading dynamics and information diffusion process are both described by three-state models which can be used to address a wi...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.70486-70494
Main Authors: Zhou, Yinzuo, Teng, Cong, Zhou, Jie
Format: Article
Language:English
Subjects:
Analytical models
Complex networks
concurrent spreading dynamics
Diffusion processes
Dynamics
Effective degree theory
Information dissemination
Integrated circuits
Mathematical model
Mean field theory
Monte Carlo methods
multiplex networks
Multiplexing
Networks
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Summary:We propose a model of concurrent three-state spreading dynamics on multiplex networks to study the co-evolution process of epidemic spreading and information diffusion. The spreading dynamics and information diffusion process are both described by three-state models which can be used to address a wide range of common spreading behaviors. As accurate prediction is important in understanding the behaviors of complicated spreading dynamics, based on our proposed model, we develop a continuous-time effective degree theory (EDT) to delicately analyze the concurrent dynamics. We show that compared to the Monte Carlo simulations, this developed theory could predict the behavior of the dynamics in high accuracy, outperforming the dominantly adopted heterogeneous mean field theory applied on relevant dynamics on multiplex networks.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2919955