A Graph Mining Study for GCC International Airports


  • Hazem Bakkar British University in Dubai,Dubai, UAE
  • Asma Qassim AlHamad Imam Abdulrahman Bin Faisal University,Dammam, SaudiArabia
  • Lubna Abdelljawad Imam Abdulrahman Bin Faisal University,Dammam, SaudiArabia


Datamining, Graph mining, Dataset.


In the last few years, Gulf Cooperation Council countries (GCC) allocated billions of dollars for expanding and upgrading its airports, therefore many studies and researches were held in order to analyze the crucial impact airports have on the economical development of these countries. This study aims to analyze airports network in GCC countries and reveal the facts hidden beneath it. The author prepared a genuine dataset about GCC airports network and represented it as a graph dataset. Using an open source software called Gephi [1], the author applied data mining techniques on the airports graph with the aid of several graphical metrics like degree centrality, betweenness and closeness centrality, and other types of metrics. The author was able to reveal some interesting facts about the airports in GCC countries. These facts showed that airports like Dubai International airport is considered an important continental hub for aviation, while other airports like Kuwait airport has a limited influence and importance in GCC airports network.


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How to Cite

Bakkar, H., Qassim AlHamad, A., & Abdelljawad, L. (2019). A Graph Mining Study for GCC International Airports. International Journal of Sciences: Basic and Applied Research (IJSBAR), 43(1), 184–196. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/9697