Journal of Northeastern University ›› 2010, Vol. 31 ›› Issue (5): 644-646.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Feedback-mechanism-based virus spreading model in scale-free networks

Zhao, Hai (1); Zheng, Yan-Qin (1); Dang, Qun (1); Fu, Yao (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-05-15 Published:2013-06-20
  • Contact: Zheng, Y.-Q.
  • About author:-
  • Supported by:
    -

Abstract: Under the precondition that there is a highly virulent infector in network, no virus spreading threshold is found in conventional virus spreading models in infinitive scale-free networks. However, there is no highly virulent infector in many real scale-free networks. For this reason, a virus spreading/controlling model with finite maximum infectivity was developed in scale-free network, based on the feedback mechanism. In the model there is a virus spreading threshold that has been proved mathematically. The feedback mechanism and the effects of the maximum value of infectivity on the infection rate of network, control of virus diffusion and spreading threshold are all analyzed through numerical simulation. The results provide an important reference for controlling the virus spreading in real networks.

CLC Number: