Modeling epidemics with dynamic small-world networks

被引：0

作者：

Kaski, K ^{[1
]}

Saramäki, J ^{[1
]}

机构：

[1] Aalto Univ, Lab Computat Engn, FIN-02015 Helsinki, Finland

来源：

SCIENCE OF COMPLEX NETWORKS: FROM BIOLOGY TO THE INTERNET AND WWW | 2005年 / 776卷

关键词：

epidemiology; spreading models; complex networks;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this presentation a minimal model for describing the spreading of an infectious disease, such as influenza, is discussed. Here it is assumed that spreading takes place on a dynamic small-world network comprising short- and long-range infection events. Approximate equations for the epidemic threshold as well as the spreading dynamics are derived and they agree well with numerical discrete time-step simulations. Also the dependence of the epidemic saturation time on the initial conditions is analysed and a comparison with real-world data is made.

引用

页码：252 / 262

页数：11

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