从大规模区域细分的角度研究平面网络的脆弱性
Gang Liu1, Chengfu Huang2, Ye Tian3
1College of Geography and Planning, Chengdu University of Technology, Chengdu, China. liugang2014@cdut.edu.cn.
Scientific reports
|November 25, 2025
概括
本研究引入了大规模的区域细分,以评估平面网络的脆弱性. 这种新的方法有效地降低了网络效率,优于随机和有针对性的攻击,以改善网络安全和规划.
科学领域:
- 网络科学 网络科学
- 图形理论 图形理论
- 城市规划 城市规划
背景情况:
- 平面网络漏洞评估对于基础设施弹性至关重要.
- 现有的方法往往侧重于单个组件,而不是整体连接.
研究的目的:
- 引入一种新的平面网络脆弱性评估方法,使用大规模的区域细分.
- 评估与现有攻击策略对比拟的方法.
主要方法:
- 开发了一种用于脆弱性分析的大规模区域细分方法.
- 使用网络效率作为衡量性能下降的指标.
- 将拟议的方法与随机失败和基于中间位置的有针对性的攻击进行了比较.
主要成果:
- 拟议的大规模区域细分方法显著降低了跨不同数据集的网络效率.
- 这种新的方法超过了随机和基于中间的攻击策略.
- 在现实世界城市道路网络和合成平面网络上表现出有效性.
结论:
- 大规模的区域细分为评估平面网络漏洞提供了更好的视角.
- 这些发现对运输网络规划和应急管理具有实际意义.
- 这种方法通过考虑整体连接来推进网络安全和效率分析.
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