A Synthetic Model for Multilevel Air Transportation Networks

Marzena Fügenschuh (), Ralucca Gera and Tobias Lory
Additional contact information
Marzena Fügenschuh: Beuth University of Applied Sciences
Ralucca Gera: Naval Postgraduate School
Tobias Lory: Beuth University of Applied Sciences

A chapter in Operations Research Proceedings 2017, 2018, pp 347-353 from Springer

Abstract: Abstract Air transportation networks are known to be scale-free and easily modeled using a multiplex structure. Each airline’s network tends to develop independent of the other carriers, based on economic and political factors, influenced by the interaction between them. Creating synthetic models for air transportation networks provides a tool towards creating larger size similar networks, based on the existing structure and development of the network used as the model. We enhance the Barabási-Albert-based BinBall model (Basu, Sundaram, Dippel in IEEE/ACM 25–28, 2015, [9]), by (1) decoupling the scaling factors related to the global and local degree of a new attached node, and (2) a fitted distribution of the edge count per layer. We validate it using the European Air Transportation Network (Cardillo, Gmez-Gardees, Zanin, Romance et al, in Scientific Reports, 2013, [7]), showing that our model outperforms BinBall with respect to the diversity of individual layer structure.

Keywords: Multiplex; Multilevel networks; Network synthetic models; Air transportation network models (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-89920-6_47

Ordering information: This item can be ordered from
http://www.springer.com/9783319899206

DOI: 10.1007/978-3-319-89920-6_47

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().