Centrality and connectivity analysis of the European airports: a weighted complex network approach

Name: Centrality and connectivity analysis of the European airports: a weighted complex network approach
Author: Ersöz, Cem, Karaman, F.

İsim	Centrality and connectivity analysis of the European airports: a weighted complex network approach
Yazar	Ersöz, Cem, Karaman, F.
Basım Tarihi:	2023-02-23
Basım Yeri	- Taylor & Francis
Konu	Community detection, Complex network, European airport network, Weighted betweenness
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0308-1060
Kayıt Numarası	4c00d915-db4b-428b-87ed-8bc55c92350b
Lokasyon	Aviation Management
Tarih	2023-02-23
Örnek Metin	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

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Centrality and connectivity analysis of the European airports: a weighted complex network approach

Yazar Ersöz, Cem, Karaman, F.

Basım Tarihi 2023-02-23

Basım Yeri - Taylor & Francis

Konu Community detection, Complex network, European airport network, Weighted betweenness

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0308-1060

Kayıt Numarası 4c00d915-db4b-428b-87ed-8bc55c92350b

Lokasyon Aviation Management

Tarih 2023-02-23

Örnek Metin 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