Block-Fitness Modeling of the Global Air Mobility Network
Fuente:
arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866908776330690560 |
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| author | Fischetti, Giulia Mancini, Anna Cimini, Giulio Davis, Jessica T. Leung, Abby Vespignani, Alessandro Caldarelli, Guido |
| author_facet | Fischetti, Giulia Mancini, Anna Cimini, Giulio Davis, Jessica T. Leung, Abby Vespignani, Alessandro Caldarelli, Guido |
| contents | Accurate representations of the World Air Transportation Network (WAN) are fundamental inputs to models of global mobility, epidemic risk, and infrastructure planning. However, high-resolution, real-time data on the WAN are largely commercial and proprietary, therefore often inaccessible to the research community. Here we introduce a generative model of the WAN that treats air travel as a stochastic process within a maximum-entropy framework. The model uses airport-level passenger flows to probabilistically generate connections while preserving traffic volumes across geographic regions. The resulting reconstructed networks reproduce key structural properties of the WAN and enable simulations of dynamic spreading that closely match those obtained using the real network. Our approach provides a scalable, interpretable, and computationally efficient framework for forecasting and policy design in global mobility systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_13867 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Block-Fitness Modeling of the Global Air Mobility Network Fischetti, Giulia Mancini, Anna Cimini, Giulio Davis, Jessica T. Leung, Abby Vespignani, Alessandro Caldarelli, Guido Physics and Society Social and Information Networks Accurate representations of the World Air Transportation Network (WAN) are fundamental inputs to models of global mobility, epidemic risk, and infrastructure planning. However, high-resolution, real-time data on the WAN are largely commercial and proprietary, therefore often inaccessible to the research community. Here we introduce a generative model of the WAN that treats air travel as a stochastic process within a maximum-entropy framework. The model uses airport-level passenger flows to probabilistically generate connections while preserving traffic volumes across geographic regions. The resulting reconstructed networks reproduce key structural properties of the WAN and enable simulations of dynamic spreading that closely match those obtained using the real network. Our approach provides a scalable, interpretable, and computationally efficient framework for forecasting and policy design in global mobility systems. |
| title | Block-Fitness Modeling of the Global Air Mobility Network |
| topic | Physics and Society Social and Information Networks |
| url | https://arxiv.org/abs/2601.13867 |