Target Immunization Strategy Analysis of Incomplete Information in Complex Networks

Abstract

The formulation of scientific disease immunisation strategy is related to the safety and health of the people. However, in the real world, complete information about the target network is not always available. The immune strategy based on local information emerge in endlessly, but we still lack a general framework for immune strategy research under incomplete information. This paper studies the propagation characteristics of complex networks under target immunity with incomplete information. We make a theoretical analysis of the proposed model and method. At the same time, we simulate the target immunisation with incomplete information in scale-free networks. Studies have shown that immune information has a significant influence on the propagation characteristics of scale-free networks. Experiments based on the synthetic scale-free network indicate that when the proportion of nodes with explicit information is larger than the threshold of the immune density of random immunity, the target immune effect will be significantly enhanced.