A study of inflammation immunization strategy in weighted complex network

The problem of epidemic spreading has been widely studied by scientists from various fields, so the corresponding immunization strategy is also been extensively concerned. But the traditional immunization behaviors are performed by deleting edges in the network, which causes changes of the network structure and then possibly severe damage to the network efficiency. In this paper we studied a novel inflammation immunization strategy in weighted network by reducing the edge weight to suppress the spreading of the epidemic while maintain necessary network efficiency. It likes the situation when one place of our body is infected, inflammation occurs around the infected point to prevent the infection going widely, but it does not damage the body function. So we call the new strategy as ”inflammation immunization strategy”. Using the SI epidemic spreading model, we set the transmission rate to be in proportion to the edge weight. Further we give the detailed dynamic evolution for the infected nodes which facilitates an effective epidemic control. The theoretical analysis and simulation results show that the inflammation immunization strategy can effectively prevent epidemic spreading while maintain a high efficiency of the network.