会议专题

Epidemic Spreading in Partial Dynamic Networks

In a society, some social contacts are stable which can preserve for a long time, while others are unstable which persist only for a short time. In this paper, we study the epidemic spreading on a network, referred as partial dynamic network, in which most connections are stable while the others are dynamic. Our analysis and simulations reveal that a larger fraction of dynamic connections may lead a larger epidemic size. Moreover, we study the influence of the cluster coefficient to the epidemic spreading on the partial dynamic network and find that higher clustering may lead to a smaller epidemic size. A simple analysis is given to explain these findings.

Partial Dynamic Network Unequal Footing Cluster Coefficient

ZHOU Yinzuo ZHOU Jie

School of Electronic, Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai Temasek Laboratories, National University of Singapore, 117411 Singapore

国际会议

The 31st Chinese Control Conference(第三十一届中国控制会议)

合肥

英文

1190-1194

2012-07-01(万方平台首次上网日期,不代表论文的发表时间)