How the heterogeneous infection rate effect on the epidemic spreading in activity-driven network

被引:9
|
作者
Han, Dun [1 ]
Li, Dandan [2 ]
Chen, Chao [1 ]
Sun, Mei [1 ]
机构
[1] Jiangsu Univ, Nonlinear Sci Res Ctr, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Sch Econ & Management, Nanjing 210029, Jiangsu, Peoples R China
来源
关键词
Heterogeneous infection rate; activity-driven; epidemic threshold; immunization; TIME-VARYING NETWORKS; GLOBAL STABILITY; VACCINATION; MODELS; GAME;
D O I
10.1142/S0129183116500571
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we research the impact of the heterogeneous infection rate on the epidemic spread in the activity-driven networks. By using the mean field approximation, the epidemic threshold is theoretically obtained. Several immunization strategies that could curb the epidemic spread are presented. Based on the theoretical analysis and simulation results, we obtain that the epidemic would be prevented effectively if the infection rate strongly correlates with the individual activity. However, if infection rate has a little correlation with the individual activity, most of the individuals may be infected. In addition, the epidemic can be suppressed soon if the individuals with high activity are immunized preferentially.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Epidemic spreading with activity-driven awareness diffusion on multiplex network
    Guo, Quantong
    Lei, Yanjun
    Jiang, Xin
    Ma, Yifang
    Huo, Guanying
    Zheng, Zhiming
    [J]. CHAOS, 2016, 26 (04)
  • [2] Effect of individual behavior on epidemic spreading in activity-driven networks
    Rizzo, Alessandro
    Frasca, Mattia
    Porfiri, Maurizio
    [J]. PHYSICAL REVIEW E, 2014, 90 (04)
  • [3] A study of epidemic spreading on activity-driven networks
    Zou, Yijiang
    Deng, Weibing
    Li, Wei
    Cai, Xu
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2016, 27 (08):
  • [4] Research on how the difference of personal propagation ability influences the epidemic spreading in activity-driven network
    Han Dun
    Yan Shuting
    Han She
    Qian Lingfei
    Chris, Ampimah Benjamin
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 514 : 311 - 318
  • [5] Epidemic spreading on activity-driven networks with attractiveness
    Pozzana, Iacopo
    Sun, Kaiyuan
    Perra, Nicola
    [J]. PHYSICAL REVIEW E, 2017, 96 (04)
  • [6] Epidemic spreading with awareness diffusion on activity-driven networks
    Hu, Ping
    Ding, Li
    An, Xuming
    [J]. PHYSICAL REVIEW E, 2018, 98 (06)
  • [7] Epidemic spreading with awareness on multi-layer activity-driven networks
    Jia, Mengqi
    Li, Xin
    Ding, Li
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 579
  • [8] Epidemic spreading in time-varying networks with activity-driven infectivity
    Zhang, Yuan
    Wang, Jianbo
    Li, Cong
    Li, Xiang
    [J]. 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 3776 - 3781
  • [9] Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks
    Mancastroppa, Marco
    Burioni, Raffaella
    Colizza, Vittoria
    Vezzani, Alessandro
    [J]. PHYSICAL REVIEW E, 2020, 102 (02)
  • [10] Impact of different social attitudes on epidemic spreading in activity-driven networks
    Hou, Yunxiang
    Lu, Yikang
    Dong, Yuting
    Jin, Libin
    Shi, Lei
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2023, 446