Modeling the effects of social impact on epidemic spreading in complex networks |
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| Authors: | Shunjiang Ni Wenguo Weng Hui Zhang |
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| Institution: | 1. School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China;2. Institute of Traffic, Shandong Jianzhu University, Jinan 250101, China;1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084 PR China;2. Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Karlsruhe, D-76021, Germany;1. Software College, Northeastern University, Shenyang 110169, China;2. School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China;1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, China;2. Beijing Key Laboratory of Comprehensive Emergency Response Science, Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, 10084, China |
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| Abstract: | We investigate by mean-field analysis and extensive simulations the effects of social impact on epidemic spreading in various typical networks with two types of nodes: active nodes and passive nodes, of which the behavior patterns are modeled according to the social impact theory. In this study, nodes are not only the media to spread the virus, but also disseminate their opinions on the virus—whether there is a need for certain self-protection measures to be taken to reduce the risk of being infected. Our results indicate that the interaction between epidemic spreading and opinion dynamics can have significant influences on the spreading of infectious diseases and related applications, such as the implementation of prevention and control measures against the infectious diseases. |
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