Structural Evolution of the Brazilian Airport Network
arXiv:0804.3081 · doi:10.1088/1742-5468/2009/04/P04020
Abstract
The aviation sector is profitable, but sensitive to economic fluctuations, geopolitical constraints and governmental regulations. As for other means of transportation, the relation between origin and destination results in a complex map of routes, which can be complemented by information associated to the routes themselves, for instance, frequency, traffic load or distance. The theory of networks provides a natural framework to investigate dynamics on the resulting structure. Here, we investigate the structure and evolution of the Brazilian Airport Network (BAN) for several quantities: routes, connections, passengers and cargo. Some structural features are in accordance with previous results of other airport networks. The analysis of the evolution of the BAN shows that its structure is dynamic, with changes in the relative relevance of some airports and routes. The results indicate that the connections converge to specific routes. The network shrinks at the route level but grows in number of passengers and amount of cargo, which more than doubled during the period studied.
10 pages, 8 figures, 2 tables. The analysis moved from an airport-based network to a city-based network. The conclusions were unaffected
References in corpus (13)
- The architecture of complex weighted networks
- Characterization of complex networks: A survey of measurements
- The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles
- Prediction and predictability of global epidemics: the role of the airline transportation network
- Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
- Analysis of the Airport Network of India as a complex weighted network
- Statistical Analysis of Airport Network of China
- Characterization and Modeling of weighted networks
- Entropy Optimization of Scale-Free Networks Robustness to Random Failures
- Optimal Traffic Networks
- How to fit the degree distribution of the air network?
- Network Topology of the Austrian Airline Flights
- A weighted network evolution model based on passenger behavior
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- Microdynamics in stationary complex networks
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- Epidemic Spreading in Weighted Networks: An Edge-Based Mean-Field Solution
- Recurrence in the evolution of air transport networks
- Weighted hypersoft configuration model
- The Multiplex Efficiency Index: unveiling the Brazilian Air Transportation Multiplex Network -- BATMN
- Identifying vital edges in Chinese air route network via memetic algorithm
- q-Weibull distributions describing commercial service routes
- Modeling resource consumption in the US air transportation system via minimum-cost percolation