Title :
Dynamic Behavior of SIRS Model with Feedback on Complex Networks
Author :
Zhang, DaMin ; Cai, ShaoHong
Author_Institution :
Sch. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China
Abstract :
A SIRS epidemic model related to feedback mechanism, crowd density and the moving activity of individual on complex networks is proposed in this paper. The theoretical analysis and computer simulation indicate that feedback mechanism can decay the stable infection ratio of system, and however, it can not influence the spreading threshold of system. With descending of crowd density, the stable infection ratio of system declines, and meanwhile, the spreading threshold extends, that is to say, high crowd-density is good for disease spread. Furthermore, the stable infection ratio of moving crowd is higher than that of static crowd under the condition of low crowd-density. This indicates that the moving activity of individual can promote disease spread.
Keywords :
complex networks; diseases; feedback; graph theory; network theory (graphs); probability; SIRS epidemic model; complex network; computer simulation; crowd density; crowd moving activity; cured probability; disease spreading threshold; dynamic behavior; feedback mechanism; infected probability; infective individual; losing-immunity probability; recovered individual; regular graph; stable infection ratio; susceptible individual; theoretical analysis; Complex networks; Computer science; Computer security; Computer simulation; Diseases; Electronic mail; Equations; Feedback; Information security; Information technology; SIRS epidemic model; crowd density; feedback mechanism; moving activity;
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3744-3
DOI :
10.1109/IAS.2009.72
