Author
Ersöz, Cem, Karaman, F.
Publication Date
2023-02-23
Publication Place
-
Taylor & Francis
Subject
Community detection, Complex network, European airport network, Weighted betweenness
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0308-1060
Record ID
4c00d915-db4b-428b-87ed-8bc55c92350b
Library Location
Aviation Management
Date
2023-02-23
Sample Text
This study aims to reveal the structure of the European Airport Network (EAN) using concepts from complex network theory by utilising 2019 passenger data collected from Eurostat. Initially, the EAN was explored by computing connectivity and centrality measures and their correlations. The community structure of the EAN was also examined by modularity maximisation using the relatively new Leiden algorithm. When the network was compared with simulated models, it was observed that the EAN had small-world and scale-free properties. To measure the hub performance of the airports, their binary betweenness centrality was compared with a weighted betweenness measure employing the ratio of geographical distance to passenger traffic between the nodes. A significant difference was observed between the two centrality measures.
DOI
10.1080/03081060.2023.2166509
Cilt
46
