Immunization strategy based on discrete particle swarm optimization algorithm in BBV network

It is a key that how to find the most important nodes and to immune them in network. The maximum numbers and degree centrality of nodes are funded by The DPSO (discrete particle swarm optimization) strategy, the network is cut as small as possible, and then the infected nodes are limited in sub network to prevent virus propagation. Whereas due to the loss information of expressing nodes nature of strength in weighted network, we combine the maximum numbers and semi-local centrality of nodes, to identify nodes and cut the network. We compare the efficiency of those methods in weighted network, simulation results show that the method can restrain virus propagation effectively.