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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Main Authors: Yinzuo Zhou, Cong Teng, Jie Zhou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8726416/
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spelling doaj-1f4ba1b39cb24de3b2d586b027f712492021-03-30T00:09:23ZengIEEEIEEE Access2169-35362019-01-017704867049410.1109/ACCESS.2019.29199558726416Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading DynamicsYinzuo Zhou0https://orcid.org/0000-0002-0997-3496Cong Teng1Jie Zhou2Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, ChinaAlibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, ChinaSchool of Physics and Materials Science, East China Normal University, Shanghai, ChinaWe 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.https://ieeexplore.ieee.org/document/8726416/Effective degree theorymultiplex networksconcurrent spreading dynamics
collection DOAJ
language English
format Article
sources DOAJ
author Yinzuo Zhou
Cong Teng
Jie Zhou
spellingShingle Yinzuo Zhou
Cong Teng
Jie Zhou
Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading Dynamics
IEEE Access
Effective degree theory
multiplex networks
concurrent spreading dynamics
author_facet Yinzuo Zhou
Cong Teng
Jie Zhou
author_sort Yinzuo Zhou
title Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading Dynamics
title_short Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading Dynamics
title_full Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading Dynamics
title_fullStr Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading Dynamics
title_full_unstemmed Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading Dynamics
title_sort effective degree theory on multiplex networks for concurrent three-state spreading dynamics
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description 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.
topic Effective degree theory
multiplex networks
concurrent spreading dynamics
url https://ieeexplore.ieee.org/document/8726416/
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AT congteng effectivedegreetheoryonmultiplexnetworksforconcurrentthreestatespreadingdynamics
AT jiezhou effectivedegreetheoryonmultiplexnetworksforconcurrentthreestatespreadingdynamics
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