TRAFFIC DRIVEN EPIDEMIC SPREADING IN WEIGHTED NETWORKS WITH DIFFERENT ROUTES
Fei Shao1, 2, BingHua Cheng2
1Jiangsu Information Analysis Engineering Laboratory, Nanjing 211169, China
2School of Information Technology, Jinling Institute of Technology, Nanjing 211169, China
How does traffic processes in weighted networks impact on the dynamics of epidemic spreading have attracted increasing attention. It is of great importance to reduce the epidemic spreading velocity and increase the critical epidemic threshold of those real world networks. In this paper, the traffic driven epidemic spreading behaviour in BBV weighted networks is investigated. Formulas to describe the infected density and the epidemic threshold of weighted networks are derived and validated by simulations. The infected density and the epidemic threshold are found to undergo a corresponding change when packets are forwarded through different routes according to the different tuneable parameter. By simulations, the optimal route is explored which is better to control the epidemic spreading.