Empirical Research And Analysis Of Flight Training Network Based On Complex Network Theory

With the advancement of aviation technology and the improvement of transport organization management and service levels,the global civil aviation industry is developing rapidly.Chinese civil aviation industry is also in a period of rapid development.The development of civil aviation brings opportunities as well as challenges.One of the most important tasks is the training of professionals in the industry,especially for pilots.Civil Aviation Flight University of China(CAFUC)is the largest and most capable flight training in the world.As a regular college,it has a great influence on civil aviation in the country,especially in the world,has undertaken important pilot training tasks and has formed a relatively large scale flight training network.As the size and complexity of the flight training network continues to increase,various problems will emerge.Therefore,it is necessary to theoretically analyze and research the flight training network.Complex network theory is widely used as an effective tool to study aerospace networks with complex characteristics,and many influential tasks have been made in empirical research.The application of complex network theory to aviation networks provides a good idea for the research of flight training networks.From the perspective of the necessity of flight training network research and the scientific research using complex network theory,the empirical research and analysis of the flight training network based on complex network theory is of great significance.Based on the theory of complex networks,this paper conducts an empirical study and analysis of the flight training network to reflect the nature of the actual flight training network.The main work contents and results of the paper are as follows:(1)According to the original course data of flight training,the flight training networks is defined as a complex network based on complex network theory,and constructs a flight training network model.(2)Describes and calculates the main statistical features of flight training network(FTN),such as degree,clustering coefficient,betweenness,and assortativity coefficient,the overall situation of the FTN route network in the past ten years was analyzed,through calculation and statistics of the major statistical characteristics of the FTN structure over the past years.Studies have shown that: Guanghan Airport,Luoyang Airport,Mianyang Airport,Xinjin Airport and Suining Airport are important airports in the FTN,have high degrees and betweenness,bear the main load of the network.FTN has the characteristics of scale-free network and belongs to a typical scale-free network.The distribution of network structure has serious non-uniformity,and the network structure of "Hub-Spoke" is overall presented.(3)Combining the characteristics of FTN structure,the FTN is subjected to invulnerability analysis,and the network efficiency,clustering coefficient,and relative size of the maximal connected subgraph are used as evaluation indicators for invulnerability.In order to explore the structure of its resistance to destruction,Random attack strategies and various deliberate attack strategies are designed in FTN invulnerability simulation analysis.The results show that the FTN has the invulnerability in random attacks and the vulnerability in intentional attacks.