Identifying influential waypoints in air route networks based on network agglomeration relative entropy
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所属单位：民航学院
发表刊物：CHINESE JOURNAL OF PHYSICS
关键字：Air route network Influential nodes Network agglomeration Relative entropy
摘要：Air route network (ARN) is one of the most important transportation networks and the key waypoints (nodes) have significant influence on the stability and robustness of the ARN. In this paper, a network agglomeration relative entropy centrality (NAREC) method to identify influential nodes in ARNs is proposed, based on the network agglomeration and relative entropy theory. The basic topological features of the regional ARNs in Beijing, Shanghai and Guangzhou are analyzed and then the proposed method is applied to identifying influential nodes in the three networks. At last, the effectiveness of the NAREC method is demonstrated by the susceptible-infected-removed (SIR) model and the Kendall's tau coefficient. Results show that the proposed method is applicable and effective.
ISSN号：0577-9073
是否译文：否
发表时间：2019-02-01
合写作者：Ren, Guangjian,卢朝阳
通讯作者：朱金福