New centrality and causality metrics assessing air traffic network interactions
| Autor: | Silvia Zaoli, Gérald Gurtner, Luis Delgado, Piero Mazzarisi, Fabrizio Lillo |
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| Přispěvatelé: | Mazzarisi, Piero P., Zaoli, Silvia, Lillo, Fabrizio, Delgado, Loui, Gurtner, Gérald, Mazzarisi P., Zaoli S., Lillo F., Delgado L., Gurtner G. |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Physics - Physics and Society
Air Traffic Management Computer science 020209 energy Strategy and Management Networks FOS: Physical sciences Network Transportation Physics and Society (physics.soc-ph) 02 engineering and technology Management Monitoring Policy and Law Metrics computer.software_genre Causality (physics) 0502 economics and business 0202 electrical engineering electronic engineering information engineering 050210 logistics & transportation Node (networking) 05 social sciences Air traffic management Complex network Air traffic control Settore MAT/06 - Probabilita' e Statistica Matematica Metric (mathematics) Data mining Centrality Law computer |
| Popis: | In ATM systems, the massive number of interacting entities makes it difficult to identify critical elements and paths of disturbance propagation, as well as to predict the system-wide effects that innovations might have. To this end, suitable metrics are required to assess the role of the interconnections between the elements and complex network science provides several network metrics to evaluate the network functioning. Here we focus on centrality and causality metrics measuring, respectively, the importance of a node and the propagation of disturbances along links. By investigating a dataset of US flights, we show that existing centrality and causality metrics are not suited to characterise the effect of delays in the system. We then propose generalisations of such metrics that we prove suited to ATM applications. Specifically, the new centrality is able to account for the temporal and multi-layer structure of ATM network, while the new causality metric focuses on the propagation of extreme events along the system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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