Title :
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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6359052
