Asymmetrically interacting spreading dynamics on complex layered networks

Wei Wang; Ming Tang; Hui Yang; Younghae Do; Ying-Cheng Lai; GyuWon Lee

doi:10.1038/srep05097

Asymmetrically interacting spreading dynamics on complex layered networks

Wei Wang (Corresponding Author), Ming Tang, Hui Yang, Younghae Do, Ying-Cheng Lai, GyuWon Lee

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Abstract

The spread of disease through a physical-contact network and the spread of information about the disease on a communication network are two intimately related dynamical processes. We investigate the asymmetrical interplay between the two types of spreading dynamics, each occurring on its own layer, by focusing on the two fundamental quantities underlying any spreading process: epidemic threshold and the final infection ratio. We find that an epidemic outbreak on the contact layer can induce an outbreak on the communication layer, and information spreading can effectively raise the epidemic threshold. When structural correlation exists between the two layers, the information threshold remains unchanged but the epidemic threshold can be enhanced, making the contact layer more resilient to epidemic outbreak. We develop a physical theory to understand the intricate interplay between the two types of spreading dynamics.

Original language	English
Article number	5097
Number of pages	8
Journal	Scientific Reports
Volume	4
Early online date	29 May 2014
DOIs	https://doi.org/10.1038/srep05097
Publication status	Published - 29 May 2014

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Asymmetrically interacting spreading dynamics on complex layered networks
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title = "Asymmetrically interacting spreading dynamics on complex layered networks",

abstract = "The spread of disease through a physical-contact network and the spread of information about the disease on a communication network are two intimately related dynamical processes. We investigate the asymmetrical interplay between the two types of spreading dynamics, each occurring on its own layer, by focusing on the two fundamental quantities underlying any spreading process: epidemic threshold and the final infection ratio. We find that an epidemic outbreak on the contact layer can induce an outbreak on the communication layer, and information spreading can effectively raise the epidemic threshold. When structural correlation exists between the two layers, the information threshold remains unchanged but the epidemic threshold can be enhanced, making the contact layer more resilient to epidemic outbreak. We develop a physical theory to understand the intricate interplay between the two types of spreading dynamics. ",

author = "Wei Wang and Ming Tang and Hui Yang and Younghae Do and Ying-Cheng Lai and GyuWon Lee",

note = "M.T. would like to thank Prof. Pakming Hui for stimulating discussions. This work was partially supported by the National Natural Science Foundation of China (Grant No. 11105025) and China Postdoctoral Science Special Foundation (Grant No. 2012T50711). Y. Do was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2010067). Y.C.L. was supported by AFOSR under Grant No. FA9550-10-1-0083. G.W. Lee was supported by the Korea Meteorological Administration Research and Development Program under Grant CATER 2012-2072.",

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AU - Wang, Wei

AU - Tang, Ming

AU - Yang, Hui

AU - Do, Younghae

AU - Lai, Ying-Cheng

AU - Lee, GyuWon

N1 - M.T. would like to thank Prof. Pakming Hui for stimulating discussions. This work was partially supported by the National Natural Science Foundation of China (Grant No. 11105025) and China Postdoctoral Science Special Foundation (Grant No. 2012T50711). Y. Do was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2010067). Y.C.L. was supported by AFOSR under Grant No. FA9550-10-1-0083. G.W. Lee was supported by the Korea Meteorological Administration Research and Development Program under Grant CATER 2012-2072.

PY - 2014/5/29

Y1 - 2014/5/29

N2 - The spread of disease through a physical-contact network and the spread of information about the disease on a communication network are two intimately related dynamical processes. We investigate the asymmetrical interplay between the two types of spreading dynamics, each occurring on its own layer, by focusing on the two fundamental quantities underlying any spreading process: epidemic threshold and the final infection ratio. We find that an epidemic outbreak on the contact layer can induce an outbreak on the communication layer, and information spreading can effectively raise the epidemic threshold. When structural correlation exists between the two layers, the information threshold remains unchanged but the epidemic threshold can be enhanced, making the contact layer more resilient to epidemic outbreak. We develop a physical theory to understand the intricate interplay between the two types of spreading dynamics.

AB - The spread of disease through a physical-contact network and the spread of information about the disease on a communication network are two intimately related dynamical processes. We investigate the asymmetrical interplay between the two types of spreading dynamics, each occurring on its own layer, by focusing on the two fundamental quantities underlying any spreading process: epidemic threshold and the final infection ratio. We find that an epidemic outbreak on the contact layer can induce an outbreak on the communication layer, and information spreading can effectively raise the epidemic threshold. When structural correlation exists between the two layers, the information threshold remains unchanged but the epidemic threshold can be enhanced, making the contact layer more resilient to epidemic outbreak. We develop a physical theory to understand the intricate interplay between the two types of spreading dynamics.

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JO - Scientific Reports

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Asymmetrically interacting spreading dynamics on complex layered networks

Abstract

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