Analysis of the Iranian Airport Network by a Complex Network Approach

Document Type : Original Article


Department of Computer Engineering and Information Technology, University of Qom, Qom, Iran


In every country, airports are among the most important air transport systems in that country. When an aircraft flies from one airport to another, it creates a graph that can be completed with information about each flight, such as the number of flights per path, the number of passengers, traffic load, and so on. In the present paper, the airports of Iran and the domestic flights are considered as a network and the structure of the network is analyzed, and then the measures of complex networks such as degree distribution, shortest path length, analysis of centralities, clustering coefficient and their correlation and the way these centralities behave are examined. This analysis shows the Iranian Airport Network (IAN) that has a degree distribution described by the power function. The average path length in this network is 1.9, and the average clustering coefficient is 0.69, which meets the characteristics of a small-world network and is also considered an example of a disassortative network. The purpose of this research is to investigate the network of airports in Iran, which is ultimately important for the expansion of airports, and also to identify the important points of airports.  


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 Borhan Asadi received his B.Sc degrees in IT Engineering from the University of Azarbaijan Shahid Madani, Tabriz, Iran in 2009, and received his M.Sc in  IT Engineering from University of K.N.Toosi in 2013. His research interests include complex network, data analysis and brain analysis based on EEG. He is now a Ph. D candidate at the University of Qom and he is a member of the ihealthy research group in Spain.

 Kheirollah Rahspar Fard, received his M.Sc  degree in Applied Mathematics from the Shahid Bahonar University of Kerman, Kerman, Iran, 2002.  He received Ph.D degree in Applied Mathematics( Numerical Analysis) from Yerevan State University, Yerevan, Armenia, 2011. His research interests include natural modeling, complex network and IOT. He is a faculty member of University of Qom and he is the head of Qom Science and Technology park.

Amir Jalaly Bidgoly, received his M.Sc in Computer Engineering from the University of Science and Technology, Tehran, Iran in 2009 and received his Ph.D degree in Computer Engineering from University of Isfahan in 2015. His research interests include security of software systems, modeling of trust, reputation and rumor. He is a faculty member of Qom University.