DocumentCode :
2240449
Title :
Modeling and analysis of epidemic dynamics on an adaptive network
Author :
Peilian, Guo ; Yuzhen, Wang ; Haitao, Li
Author_Institution :
School of Control Science and Engineering, Shandong University, Jinan 250061, P.R. China
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
587
Lastpage :
592
Abstract :
Using the semi-tensor product method, this paper investigates the epidemic dynamics on an adaptive network, and presents several new results. First, a formal susceptible-infected-susceptible epidemic dynamic model on an adaptive network is given. Second, the dynamics of individual states and the dynamics of network topologies are converted into algebraic forms via the semi-tensor product of matrices, respectively. Third, with the help of the algebraic formulation, all possible final spreading equilibria are obtained for any given initial epidemic state and network topology. The study of an illustrative example shows that the new results obtained are effective.
Keywords :
Adaptation models; Adaptive systems; Diseases; Mathematical model; Matrix converters; Network topology; Silicon; Adaptive network; Co-evolution; Epidemic dynamics; Semi-tensor product of matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7259700
Filename :
7259700
Link To Document :
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