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复杂系统与复杂性科学  2017, Vol. 14 Issue (1): 8-14    DOI: 10.13306/j.1672-3813.2017.01.002
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基于复杂行为响应的传染病爆发问题的研究
柳文艳1, 张玉霞2, 蔡世民1, 何嘉林1, 尚明生1
1.电子科技大学a.计算机科学与工程学院,b.大数据研究中心,成都 611731;
2.华南理工大学物理与光电学院,广州 510640
The Study of Infectious Disease Outbreaks Based on Complex Behavior Response
LIU Wenyan1, ZHANG Yuxia2, CAI Shimin1, HE Jialin1, SHANG Mingsheng1
1. a.School of Computer Scinece and Engineering, b.Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China;
2. Department of Physics, South China University of Technology, Guangzhou 510640, China
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摘要 在小世界网络拓扑结构上,研究信息影响力、接种比例和个体间信息传播概率的变化,对传染病传播的影响。研究发现小世界强度减弱时,信息影响力对传染病爆发概率和爆发规模的影响作用发生了逆转;在个体间信息传播速率增加的过程中,传染病的爆发概率和爆发规模呈现上升的趋势。
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柳文艳
张玉霞
蔡世民
何嘉林
尚明生
关键词 复杂网络信息影响力接种行为传染病传播    
Abstract:We research the effect of information strength, inoculation ratio and individual information transmission rate on disease outbreaks in small-word network. The study finds that, the effect of information strength on the outbreak probability and scale of infectious disease occur reversal with the strength of small world weakening gradually. In the process of information transmission rate increasing, the outbreak probability and size of infectious disease outbreak show rising tendency.
Key wordscomplex network    information strength    vaccinating behavior    disease spread
收稿日期: 2015-06-05      出版日期: 2025-02-24
ZTFLH:  N94  
  O59  
基金资助:国家自然科学基金(61370150,61433014,71490720,61673086)
通讯作者: 尚明生(1973-),男,四川成都人,博士,教授,主要研究方向为复杂网络理论应用、数据挖掘等。   
作者简介: 柳文艳(1989-),女,河北衡水人,硕士,主要研究方向为复杂网络理论应用于疫情监控。
引用本文:   
柳文艳, 张玉霞, 蔡世民, 何嘉林, 尚明生. 基于复杂行为响应的传染病爆发问题的研究[J]. 复杂系统与复杂性科学, 2017, 14(1): 8-14.
LIU Wenyan, ZHANG Yuxia, CAI Shimin, HE Jialin, SHANG Mingsheng. The Study of Infectious Disease Outbreaks Based on Complex Behavior Response[J]. Complex Systems and Complexity Science, 2017, 14(1): 8-14.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2017.01.002      或      https://fzkx.qdu.edu.cn/CN/Y2017/V14/I1/8
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