Analysis and Resilience of the U.S. Flight Network
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913844027195392 |
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| author | Kafle, Sushrit Pandey, Shreejan |
| author_facet | Kafle, Sushrit Pandey, Shreejan |
| contents | Air travel is one of the most widely used transportation services in the United States. This paper analyzes the U.S. Flight Network (USFN) using complex network theory by exploring how the network's topology contributes to its efficiency and vulnerability. This is done by examining the structural properties, degree distributions, and community structures in the network. USFN was observed to follow power-law distribution and falls under the anomalous regime, suggesting that the network is hub dominant. Compared to null networks, USFN has a higher clustering coefficient and modularity. Various percolation test revealed that USFN is vulnerable to targeted attacks and is susceptible to complete cascading failure if one of the major hubs fails. The overall results suggest that while the USFN is designed for efficiency, it is highly vulnerable to disruptions. Protecting key hub airports is important to make the network more robust and prevent large-scale failures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_11559 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Analysis and Resilience of the U.S. Flight Network Kafle, Sushrit Pandey, Shreejan Physics and Society Artificial Intelligence Social and Information Networks Air travel is one of the most widely used transportation services in the United States. This paper analyzes the U.S. Flight Network (USFN) using complex network theory by exploring how the network's topology contributes to its efficiency and vulnerability. This is done by examining the structural properties, degree distributions, and community structures in the network. USFN was observed to follow power-law distribution and falls under the anomalous regime, suggesting that the network is hub dominant. Compared to null networks, USFN has a higher clustering coefficient and modularity. Various percolation test revealed that USFN is vulnerable to targeted attacks and is susceptible to complete cascading failure if one of the major hubs fails. The overall results suggest that while the USFN is designed for efficiency, it is highly vulnerable to disruptions. Protecting key hub airports is important to make the network more robust and prevent large-scale failures. |
| title | Analysis and Resilience of the U.S. Flight Network |
| topic | Physics and Society Artificial Intelligence Social and Information Networks |
| url | https://arxiv.org/abs/2505.11559 |