一个大规模的飞机交互网络数据集
Raúl López-Martín1, Massimiliano Zanin2
1Instituto de Física Interdisciplinar y Sistemas Complejos CSIC-UIB, Campus Universitat de les Illes Balears, Palma de Mallorca, Spain.
PloS one
|November 24, 2025
概括
这项研究引入了欧洲空域飞机相互作用的新型数据集,对于复杂的网络分析至关重要. 这些数据可以对空中交通动态和网络弹性进行先进的研究.
科学领域:
- 复杂系统分析 复杂系统分析
- 网络科学 网络科学
- 空中交通管理是空中交通管理.
背景情况:
- 复杂的网络概念对于研究现实世界现象至关重要,例如传播动态和系统弹性.
- 现实世界数据集的可用性对于验证复杂的网络模型和算法至关重要.
- 由于其动态和相互连接的性质,空中交通为复杂网络研究提供了丰富的领域.
研究的目的:
- 提供一份关于欧洲领空内的每日飞机交互情况的全面数据集.
- 为了促进复杂网络分析的研究,使用现实世界,大规模的图形数据.
- 支持开发新工具,以了解空中交通动态和网络弹性.
主要方法:
- 处理计划和执行的飞机轨迹.
- 飞机位置的对比比较,以确定相互作用.
- 整合关于空域状态的多尺度元数据.
主要成果:
- 一个包含1708个日常飞机互动网络表示的数据集.
- 数据涵盖了2015年至2021年间854天的数据,跨越了欧洲广的空域.
- 该数据集包括关于空域条件的全面元数据.
结论:
- 本文所介绍的数据集是复杂网络研究的宝贵资源.
- 它允许对空中交通动态和网络弹性算法进行测试和验证.
- 这些数据可以促进对大规模现实世界网络行为的理解.
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