DocumentCode
2665915
Title
Analysis and improve of SIRS model on Scale-free network
Author
Yu, Cao ; Yuanwei, Jin
Author_Institution
Northeastern Univ., Shenyang, China
fYear
2012
fDate
23-25 May 2012
Firstpage
476
Lastpage
478
Abstract
An improved SIRS model with the probability point is proposed on Scale-free network. A different threshold condition is obtained and status of system is received when t goes to infinity which are deduced by the main-field theory and the approach of Lyapunov stability theory. Whether the ability of anti-virus on Scale-free network is worse than that on homogeneous network is depend on not only the topology of network but also the power law index.
Keywords
Lyapunov methods; complex networks; diseases; probability; topology; Lyapunov stability theory; SIRS model; anti-virus ability; mean-fieid theory; network topology; power law index; probability point; scale-free network; threshold condition; Abstracts; Analytical models; Educational institutions; Electronic mail; Lyapunov methods; Network topology; Topology; Chinese Control Conference; Instruction; Paper;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244072
Filename
6244072
Link To Document