Network immunization and virus propagation in email networks: experimental evaluation and analysis
Network immunization strategies have emerged as possible solutions to the challenges of virus propagation. In this paper,
an existing interactive model is introduced and then improved in order to better characterize the way a virus spreads in email
networks with different topologies. The model is used to demonstrate the effects of a number of key factors, notably nodes’
degree and betweenness. Experiments are then performed to examine how the structure of a network and human dynamics affects
virus propagation. The experimental results have revealed that a virus spreads in two distinct phases and shown that the most
efficient immunization strategy is the node-betweenness strategy. Moreover, those results have also explained why old virus
can survive in networks nowadays from the aspects of human dynamics.