Abstract: This paper focuses on the influence of time series on the topology and spreading modes in Chinese aviation network. The network is divided into 24 time windows to study the characteristics of the topological structure in the sequence. Considering the time interval of events in this network, the SIR (susceptible- infective-removed) propagation model and the node classification method based on time characteristics are established. The results show that the correlations among the degree and clustering coefficient, betweenness and clustering coefficient have changed from positive to negative at 8:00am. And there are obvious differences among nodes in terms of the burstiness of exporting time related to flights, but it has reduced the propagation speed and the scope of infection. The results are of great significance for the further understanding of the aviation network and its dynamic process, such as the propagation of diseases.