Epidemic spreading on complex networks with weighted adaptive strategy

Author

Zhou, Yinzuo ; Wang, Xiaofan ; Zhou, Jie

Author_Institution

Sch. of Electron., Inf. & Electr. Eng., Shanghai JiaoTong Univ., Shanghai, China

fYear

2012

fDate

6-8 July 2012

Firstpage

3491

Lastpage

3496

Abstract

We introduce a weighted adaptive network model to investigate the epidemic dynamics based on a susceptible-infective-susceptible (SIS) pattern, where the weight of a link describes the contact strength between two connected individuals. In the model, a susceptible node is able to transfer the weight of the link connecting an infected neighbor to a link connecting one of its susceptible neighbors. It is found that this weight adaption process could strongly aggravate the destructiveness of an epidemic and leads to a new population relation. Moreover, the effectiveness of a simple epidemic control strategy on a weighted adaptive network is examined. The results show that the weight adaption process may reduce the strategy efficiency. Analysis are presented and the results support our numerical simulations.

Keywords

adaptive systems; complex networks; epidemics; network theory (graphs); SIS pattern; complex network; contact strength; epidemic control strategy; epidemic dynamics; epidemic spreading; infected neighbor; numerical simulation; population relation; strategy efficiency; susceptible neighbor; susceptible node; susceptible-infective-susceptible pattern; weight adaption process; weight transfer; weighted adaptive network model; weighted adaptive strategy; Adaptation models; Analytical models; Indexes; Adaptive; Epidemic spreading; Weight;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6359052

Filename

6359052