首页|Studying the co-evolution of information diffusion,vaccination behavior and disease transmission in multilayer networks with local and global effects
Studying the co-evolution of information diffusion,vaccination behavior and disease transmission in multilayer networks with local and global effects
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Today,with the rapid development of the internet,a large amount of information often accompanies the rapid trans-mission of disease outbreaks,and increasing numbers of scholars are studying the relationship between information and the disease transmission process using complex networks.In fact,the disease transmission process is very complex.Besides this information,there will often be individual behavioral measures and other factors to consider.Most of the previous research has aimed to establish a two-layer network model to consider the impact of information on the transmission pro-cess of disease,rarely divided into information and behavior,respectively.To carry out a more in-depth analysis of the disease transmission process and the intrinsic influencing mechanism,this paper divides information and behavior into two layers and proposes the establishment of a complex network to study the dynamic co-evolution of information diffusion,vaccination behavior,and disease transmission.This is achieved by considering four influential relationships between ad-jacent layers in multilayer networks.In the information layer,the diffusion process of negative information is described,and the feedback effects of local and global vaccination are considered.In the behavioral layer,an individual's vaccination behavior is described,and the probability of an individual receiving a vaccination is influenced by two factors:the influence of negative information,and the influence of local and global disease severity.In the disease layer,individual susceptibility is considered to be influenced by vaccination behavior.The state transition equations are derived using the micro Markov chain approach(MMCA),and disease prevalence thresholds are obtained.It is demonstrated through simulation experi-ments that the negative information diffusion is less influenced by local vaccination behavior,and is mainly influenced by global vaccination behavior;vaccination behavior is mainly influenced by local disease conditions,and is less influenced by global disease conditions;the disease transmission threshold increases with the increasing vaccination rate;and the scale of disease transmission increases with the increasing negative information diffusion rate and decreases with the increasing vaccination rate.Finally,it is found that when individual vaccination behavior considers both the influence of negative information and disease,it can increase the disease transmission threshold and reduce the scale of disease transmission.Therefore,we should resist the diffusion of negative information,increase vaccination proportions,and take appropriate protective measures in time.
information diffusionvaccination behaviordisease transmissionmultilayer networkslocal and global effect
霍良安、武兵杰
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Business School,University of Shanghai for Science and Technology,Shanghai 200093,China
School of Intelligent Emergency Management,University of Shanghai for Science and Technology,Shanghai 200093,China
国家自然科学基金国家自然科学基金Program for Professor of Special Appointment(Eastern Scholar)at Shanghai Institutions of Higher Learning上海市自然科学基金
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