Identifying influential waypoints in air route networks based on network agglomeration relative entropy
Identifying influential waypoints in air route networks based on network agglomeration relative entropy
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DOI：
10.1016/j.cjph.2018.11.003
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发表时间：
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期刊：
影响因子：
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通讯作者：
Lu Chaoyang
中科院分区：
文献类型：
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作者：
Ren Guangjian;Zhu Jinfu;Lu Chaoyang
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 susceptibleinfected-.removed (SIR) model and the Kendall's tau coefficient. Results show that the proposed.method is applicable and effective.
