Earticle

초록

영어

To investigate the impact of weights on the traffic driven epidemic spreading in weighted homogeneous networks, an epidemic model in pseudo-random network with adjustable weights is presented. In the scenario that epidemic pathway is defined and driven by traffic flows, the epidemic spreading velocity of SI model in weighted homogeneous networks is obviously accelerated when the edge weight is different. And in traffic driven SIS model, the epidemic threshold is found to be proportional to the inverse of the average node betweenness. It is better to control the epidemic spreading when the edges have the same weight. Simulation results have confirmed the theoretical predictions.

목차

Abstract
 1. Introduction
 2. Models
 3. Simulations and Analysis
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Zinan Chang [ Jiangsu Information Analysis Engineering Laboratory, Nanjing 211169, China, School of Computer Engineering, Jinling Institute of Technology, Nanjing 211169, China ]
• Fei Shao [ Jiangsu Information Analysis Engineering Laboratory, Nanjing 211169, China, School of Computer Engineering, Jinling Institute of Technology, Nanjing 211169, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605