基于时间表的时空网络上的节点中心性的新测量方法,用于指定扩散潜力
Dino Pitoski1, Karlo Babić2,3, Ana Meštrović2,3
1Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Rijeka, Croatia. dino.pitoski@uniri.hr.
Scientific reports
|December 18, 2023
概括
这项研究引入了一种新的时间节点中心性测量方法",扩散潜力",通过服务时间表分析时空网络. 它根据它们对疾病或信息传播等现象的传输潜力对节点进行排名.
科学领域:
- 网络科学 网络科学
- 复杂的系统复杂的系统.
- 运输科学 运输科学
背景情况:
- 节点中心性是一个核心网络理论概念,有很多计算方法.
- 现有的中心性测量主要使用静态网络模型,这些模型不如动态 (时间) 模型那么现实.
- 时间网络分析为理解动态网络现象提供了更现实的方法.
研究的目的:
- 根据时空网络抽象,引入新的时间节点中心性测量方法.
- 评估节点在传输各种现象 (如疾病,信息) 的潜力.
- 为了证明该措施在现实世界定期运输网络上的适用性.
主要方法:
- 开发了一种名为"扩散潜力"的新时节中心性测量方法.
- 利用一个来自服务时间表 (时间表) 的时空网络抽象.
- 实施了欧洲海上渡轮运输网络的措施,使用2015年8月的时间表.
主要成果:
- "扩散潜力"测量有效地根据它们在计划网络中的传输能力对节点进行排名.
- 证明了该措施在分析现象通过运输网络传播潜力的实用性.
- 在欧洲渡轮网络中确定了潜在传输通道的关键节点.
结论:
- 拟议的"扩散潜力"措施为分析从定期服务中衍生出来的时间网络提供了有价值的工具.
- 这种方法对各种计划现象具有广泛的适用性,包括物流,医疗保健和教育.
- 未来的工作可以探索该措施的扩展到非计划的时空网络抽象.
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