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Modelling the air transport with complex networks: A short review
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“the theory of complex networks has played a crucial role in the aviation system in the last two decades, facilitating the efficiency and safety of air travel, particularly in the context of identifying key components and improving air transport resilience; see Zanin and Lillo (2013) ; Zanin and Wandelt (2023) for reviews.”
From Status quo and challenges in air transport management research (2024) · cites this paper as Zanin and Lillo (2013)
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Self-citation
Metadata
- Authors
- Zanin, M., & Lillo, F.
- Affiliations
- Innaxis Foundation & Research Institute (ES)
- Santa Fe Institute (US)
- Corresponding author
- Zanin, Massimiliano
- Lillo, Fabrizio
- Venue
- The European Physical Journal Special Topics
- Published
- 2013-01
- Volume
- 215
- Issue
- 1
- Pages
- 5-21
- ISSN
- 1951-6355 (ISSN-L)
- 1951-6401
- OpenAlex
- W2023841300
- Cited by
- 277
- References
- 76
- Citations by year
- 2026: 20 · 2025: 15 · 2024: 17 · 2023: 22 · 2022: 18 · 2021: 34 · 2020: 28 · 2019: 20 · 2018: 22 · 2017: 20 · 2016: 21 · 2015: 21 · 2014: 15 · 2013: 3
- FWCI
- 14.23
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The European Physical Journal Special Topics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Springer Link (Chiba Institute of Technology) (submittedVersion)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, other-oa)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Scuola Normale Superiore di Pisa (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Social Sciences › Urban Studies › Global Urban Networks and Dynamics
- Keywords
- air transport networks, complex networks, airport networks, flight networks, network topology, network dynamics, epidemic spread
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