Epidemic spreading in evolving networks

被引:45
|
作者
Schwarzkopf, Yonathan [1 ,2 ,3 ]
Rakos, Attila [1 ,4 ]
Mukamel, David [1 ]
机构
[1] Weizmann Inst Sci, Dept Phys Complex Syst, IL-76100 Rehovot, Israel
[2] CALTECH, Pasadena, CA 91125 USA
[3] Santa Fe Inst, Santa Fe, NM 87501 USA
[4] Budapest Univ Technol & Econ, Hungarian Acad Sci, Res Grp Condensed Matter Phys, H-1111 Budapest, Hungary
来源
PHYSICAL REVIEW E | 2010年 / 82卷 / 03期
基金
以色列科学基金会; 匈牙利科学研究基金会;
关键词
STATISTICAL-MECHANICS;
D O I
10.1103/PhysRevE.82.036112
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
A model for epidemic spreading on rewiring networks is introduced and analyzed for the case of scale free steady state networks. It is found that contrary to what one would have naively expected, the rewiring process typically tends to suppress epidemic spreading. In particular it is found, that as in static networks under a mean-field approximation, rewiring networks with degree distribution exponent gamma>3 exhibit a threshold in the infection rate below which epidemics die out in the steady state. However the threshold is higher in the rewiring case. For 2<gamma <= 3 no such threshold exists, but for small infection rate the steady state density of infected nodes (prevalence) is smaller for rewiring networks.
引用
收藏
页数:8
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