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Dynamical Interaction Between Information and Disease Spreading in Populations of Moving Agents

Computers, Materials & Continua 2018年第10期57卷 123-144页

作者： Lingling Xia Bo Song Zhengjun Jing Yurong Song Liang Zhang Department of Computer Information and Cyber Security Jiangsu Police InstituteNanjing210031China College of Telecommunications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing210003China Global Big Data Technologies Centre University of Technology SydneySydney2007Australia College of Computer Engineering Jiangsu University of TechnologyChangzhou213001China College of Automation Nanjing University of Posts and TelecommunicationsNanjing210003China

Considering dynamical disease spreading network consisting of moving individuals,a new double-layer network is constructed,one where the information dissemination process takes place and the other where the dynamics of disease spreading *** the basis of Markov chains theory,a new model characterizing the coupled dynamics between information dissemination and disease spreading in populations of moving agents is established and corresponding state probability equations are formulated to describe the probability in each state of every node at each *** Carlo simulations are performed to characterize the interaction process between information and disease spreading and investigate factors that influence spreading *** results show that the increasing of information transmission rate can reduce the scale of disease spreading in some *** infection period and strengthening consciousness for self-protection by decreasing individual’s scope of activity both can effectively reduce the final refractory density for the disease but have less effect on the information *** addition,the increasing of vaccination rate or decreasing of long-range travel can also reduce the scale of disease spreading.

关键词： Complex networks Markov chains theory interaction process spreading dynamics double-layer network

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