中国航空网络时序特征分析

该文着重研究时序信息对中国航空网络拓扑结构和传播行为的影响。将网络分割为24个时间窗口，研究拓扑结构在序列中的变化特性；考虑网络中事件发生的时间间隔，建立时序网络上的SIR传播模型以及基于时间特性的节点分类方法。结果表明，度-集聚系数和介数-集聚系数在8:00时出现正相关向负相关的转变；节点上航班出港行为的时间爆发性存在明显差异，但整体上可降低网络的传播速度和感染范围。该研究成果对进一步认识航空网络及受航空网络影响的疾病传播等动力学过程具有重要意义。

Analysis of the Temporal Characteristics of Chinese Aviation Network

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.