A hierarchical virus immunization method for community networks

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.