Effects of the information-driven awareness on epidemic spreading on multiplex networks

作者全名："Wang, Jun; Xiong, Weijie; Wang, Ruijie; Cai, Shimin; Wu, Die; Wang, Wei; Chen, Xiaolong"

作者地址："[Wang, Jun; Cai, Shimin] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China; [Xiong, Weijie] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China; [Wang, Ruijie] Aba Teachers Univ, Sch Math, Aba 623002, Peoples R China; [Wu, Die] Sichuan Normal Univ, Sch Comp Sci, Chengdu 610101, Peoples R China; [Wang, Wei] Chongqing Med Univ, Sch Publ Hlth & Management, Chongqing 400016, Peoples R China; [Chen, Xiaolong] Southwestern Univ Finance & Econ, Sch Comp & Artificial Intelligence, Chengdu 611130, Peoples R China"

通信作者："Wang, J (通讯作者)，Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China.; Wang, RJ (通讯作者)，Aba Teachers Univ, Sch Math, Aba 623002, Peoples R China."

来源：CHAOS

ESI学科分类：PHYSICS

WOS号：WOS:000829482500004

JCR分区：Q1

影响因子：2.9

年份：2022

卷号：32

期号：7

开始页：　

结束页：　

文献类型：Article

关键词：　

摘要："In this study, we examine the impact of information-driven awareness on the spread of an epidemic from the perspective of resource allocation by comprehensively considering a series of realistic scenarios. A coupled awareness-resource-epidemic model on top of multiplex networks is proposed, and a Microscopic Markov Chain Approach is adopted to study the complex interplay among the processes. Through theoretical analysis, the infection density of the epidemic is predicted precisely, and an approximate epidemic threshold is derived. Combining both numerical calculations and extensive Monte Carlo simulations, the following conclusions are obtained. First, during a pandemic, the more active the resource support between individuals, the more effectively the disease can be controlled; that is, there is a smaller infection density and a larger epidemic threshold. Second, the disease can be better suppressed when individuals with small degrees are preferentially protected. In addition, there is a critical parameter of contact preference at which the effectiveness of disease control is the worst. Third, the inter-layer degree correlation has a ""double-edged sword "" effect on spreading dynamics. In other words, when there is a relatively lower infection rate, the epidemic threshold can be raised by increasing the positive correlation. By contrast, the infection density can be reduced by increasing the negative correlation. Finally, the infection density decreases when raising the relative weight of the global information, which indicates that global information about the epidemic state is more efficient for disease control than local information. Published under an exclusive license by AIP Publishing."

基金机构："National Natural Science Foundation of China [62106203, 61673086, 62002250]; Natural Science Foundation of Sichuan Province [2022NSFSC0872]; Applied Technology Research and Development Fund Project of Aba Prefecture [R22YYJSYJ0003]; Special Cultivation Project of the University Level Scientific Research Project of Aba Teachers University [ASZ21-03]; Natural Science Foundation of Chongqing [cstc2021jcyj-msxmX0132]"

基金资助正文："ACKNOWLEDGMENTS This work was supported by the National Natural Science Foundation of China (Nos. 62106203, 61673086 and 62002250), the Natural Science Foundation of Sichuan Province (No. 2022NSFSC0872), the Applied Technology Research and Development Fund Project of Aba Prefecture (No. R22YYJSYJ0003), the Special Cultivation Project of the University Level Scientific Research Project of Aba Teachers University (No. ASZ21-03) and the Natural Science Foundation of Chongqing (No. cstc2021jcyj-msxmX0132)."