Traffic-driven epidemic spreading on networks of mobile agents

被引:28
作者
Yang, Han-Xin [1 ]
Wang, Wen-Xu [2 ]
Lai, Ying-Cheng [2 ]
Wang, Bing-Hong [3 ]
机构
[1] Fuzhou Univ, Dept Phys, Fuzhou 350002, Peoples R China
[2] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA
[3] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
SCALE-FREE NETWORKS; COMPLEX NETWORKS;
D O I
10.1209/0295-5075/98/68003
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The question as to how traffic or transportation processes on complex networks can shape the dynamics of epidemic spreading is of great interest for a number of areas. We study traffic-driven epidemic spreading on networks of mobile agents by incorporating two routing strategies: random and greedy. We find that for the case of infinite agent delivery capacity, increasing the moving velocity has opposite effects on the outbreak of epidemic spreading for the two routing strategies. However, expanding the communication range among agents can increase the transportation efficiency but counterintuitively suppress epidemic spreading. For finite delivery capacity, the emergence of traffic congestion can effectively inhibit epidemic spreading for both routing strategies. We provide a mean-field theory to explain the numerical findings. Our results can provide insights into devising effective strategies to suppress the spreading of harmful epidemics on time-varying networks. Copyright (C) EPLA, 2012
引用
收藏
页数:5
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