Abstract
In this paper, an air sector network (ASN) is built based on the obtained data describing the airspace of world. In the constructed network, nodes and edges represents the airports and airlines respectively. Based on the complex network and the entropy, we find that the airport rank obtained through the centrality and entropy theory is better than that derived through the traditional means. The improved entropy weight algorithm is used to reflect the location information of the nodes in the network, synthesize the centrality of the previous complex network, construct the importance evaluation matrix and finally calculate the ranking results of the importance of the nodes. Finally, through calculation, we found that the ranking result after comprehensive consideration is better than that being determined only through centrality, which illustrates the effectiveness of the method.
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