摘要
Due to the enormous harm of virus propagation,research regarding virus immunizations still absolutely necessary.In comparison to current researches,a new virus immunization method the hierarchical virus immunization method(HVIM) for community networks is proposed.Based on the virus transmission dynamic model SusceptibleInfectious-Removed and SusceptibleRemoved(SIRSR),HVIM considered the influence of external factors on the spread of viruses and only needs a portion of the network structure to be able to carry out immunization.Another pro for HVIM is that it is scalable and suitable for parallel computing which is a requirement in the big data era.Finally,a simulation dataset and a real dataset were used to run experiments,and the results of simulation showed that HVIM obviously is superior to others on the aspect of immunity.
Due to the enormous harm of virus propagation, research regarding virus immunizations still absolutely necessary. In comparison to current researches, a new virus immunization method the hierarchical virus immunization method （HVIM） for community networks is proposed. Based on the virus transmission dynamic model Susceptible- Infectious-Removed and Susceptible- Removed （SIRSR）, HVIM considered the influence of external factors on the spread of viruses and only needs a portion of the network structure to be able to carry out immunization. Another pro for HVIM is that it is scalable and suitable for parallel computing which is a requirement in the big data era. Finally, a simulation dataset and a real dataset were used to run experiments, and the results of simulation showed that HVIM obviously is superior to others on the aspect of immunity.
基金
supported by China 973 Program (2014CB340600)
NSF(60903175,61272405, 61272033,and 61272451)
University Innovation Foundation(2013TS102 and 2013TS106)
