Research Of National Flight Complex Network’s Property

Academicians have been studying network from reality,and they the put forward some classical models at different times.At the beginning, graph with regular structure was popular, then random network that is to some extent closer to network from reality than others became popular,and now complex network that could simulate realistic network much better has taken place of them.Complex network develops from graph theory,and is now applied in many fields like life sciences,internet,social network,linguistics network and so on.With the rapid development of industry,civil aircraft is playing a more and more important role in business,tourism,life and so forth.It holds an irreplaceable status in our national traffic system.Many people regard it as first choice when on official b usiness or in a journey because of its high speed,security,comfortable environment.We could better understand the goodnees and shortage of the design of airport and flight through studying national flight complex network.Afterwards comparing this article’s outcome with other nations’ flight complex network would contribute to improving and perfecting national flight network.Meanwhile the outcome could provide some referece to the contries which are developing aircraft industry.Internationally,there are some academicians studied foreign airline network,subway network,train network. Demesticly,there also exist domestic academicians who studied demestic traffic network depending on complex network theory. Until now(2012-04-17),there are173airports in our country and about5900demestic flights.The author of this article collected the complete and detail information of national flights from2012-04-17to2012-04-17,and model the airports and flights as a complex network based on complex network theory. Through the study author could found, our country’s flight network is a typical scale-free network.The author calculates and gets the parameters and characters of network, then find the relation of flight delay and network characters.