Abstract
Air traffic plays an important role in the economy and daily life both in developing and developed countries, The shutdown of the crucial airport will lead to large financial losses. In this study, the data have been collected from Openflight.org with information of flights and routes. Then the characteristics of the Chinese aviation network and Australian aviation network have been computed. The results indicate that the Chinese aviation network and Australian aviation network are both scale-free networks of power-law degree distribution with long-tail attributes. Then, the centrality analysis of the top 10 airports in the Chinese aviation network and Australian aviation network have been assessed, such as betweenness centrality analysis and closeness centrality analysis. Lastly, the study looks into how the characteristics of the Chinese and American aviation networks have changed as a result of node attacks and offers helpful advice for both the Chinese and Australian aviation networks after the most important node attacks.
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