Epidemic spreading in a complex network

被引：6
作者：
He, Mingfeng [1 ,2 ]
Wang, Bin [3 ,4 ]
Xiao, Xinhua [4 ,5 ]
Sun, Lei [4 ,6 ]
机构：
[1] Dalian Univ Technol, Dept Appl Math, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Coll Adv Sci & Technol, Dalian 116024, Peoples R China
[3] Dalian Univ Technol, Sch Environm & Biol Sci & Technol, Dalian 116024, Peoples R China
[4] Dalian Univ Technol, Inst Univ Students Innovat, Dalian 116024, Peoples R China
[5] Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116024, Peoples R China
[6] Dalian Univ Technol, Sch Chem Engn, Dalian 116024, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2007年 / 18卷 / 09期
关键词：
cluster; complex networks; epidemics;
D O I：
10.1142/S0129183107011522
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, a complex network is constructed as comprising "clusters" which can be interpreted as a group of people with regular contacts. In each "cluster" individuals contact fully. A given individual contact individuals in other "clusters" by links. Then we study the dynamical behavior of the epidemiological model in this complex network, and discuss the influence of the intra-cluster infection probability, the extra-cluster infection probability, and infection time before being detected on epidemic dynamics. The results show that extra-cluster infection reduction, early detection and swift isolation are good infection control practices.
引用
收藏
页码：1453 / 1458
页数：6
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