Abstract
Considering the effectiveness of air transportation, the investigation of the dynamics of flight routes are having a great attention, lately. Even several studies are conducted in a global scale, some hubs are required more consideration in inter-city and inter-country transportation. According to the study of [Song and Yeo], İstanbul located in Turkey has the maximum degree centrality among 1.060 airports and maximum betweenness centrality among the top 30 airports. In this study, we aim to see the air transportation network structure deeply for this country depending on its topographic characteristics. For this purpose, social network analysis is used as an analysis method and visualization tools to describe the correlation structure of the data. Thus, we illustrate some of the network-level and node-level metrics in aforementioned analysis by exploring route connections among airports. Additionally, the network maps are depicted to better understand the air routes structure. The results indicate that İstanbul has a huge impact among airports in terms of both domestic and international transportation depending on the empirical data of Turkey for the year of 2014. Classifying by countries, Germany and Cyprus has the largest connection measurement results with Turkey.