Key Nodes Detection of Aviation Network Based on Complex Network Theory

被引：0

作者：

Tu Congliang ^{[1
]}

Wu Minggong ^{[1
]}

Wen Xiangxi ^{[1
]}

Han Cheng ^{[1
]}

机构：

[1] Air Force Engn Univ, Coll Air Traff Control & Nav, Xian 710051, Shaanxi, Peoples R China

来源：

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications | 2016年 / 71卷

关键词：

Aviation Network; Complex Network; Closeness; Evaluation Matrix; Edge Weight;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to detect the key nodes in the aviation network, a node detection algorithm is proposed. In view of the fallibility of previous methods, this algorithm integrates the improved closeness sorting algorithm and the importance evaluation matrix. Firstly, the model of the aviation network is constructed. Based on the closeness sorting algorithm, a weight function is proposed, which is set to reflect the position information of the node. Then, considering the edge weights, the importance matrix is constructed, and the importance of each node is obtained. Experimental results show that the algorithm is capable of simulating the actual aviation network, using the advantages of the two methods to the most extent, at the same time, considering the route traffic.

引用

页码：1368 / 1374

页数：7

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