Key Nodes Detection of Aviation Network Based on Complex Network Theory

DOI

10.2991/icmmita-16.2016.252How to use a DOI?

Keywords

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

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Congliang Tu
AU  - Minggong Wu
AU  - Xiangxi Wen
AU  - Cheng Han
PY  - 2017/01
DA  - 2017/01
TI  - Key Nodes Detection of Aviation Network Based on Complex Network Theory
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1061
EP  - 1067
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.252
DO  - 10.2991/icmmita-16.2016.252
ID  - Tu2017/01
ER  -