复杂网络的多分位分析用嵌入式超标空间的几何信息重建复杂网络
He Ren1,2, Zu-Guo Yu1,2, Jin-Long Liu1,2
1National Center for Applied Mathematics in Hunan & Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, Hunan 411105, China.
Chaos (Woodbury, N.Y.)
|May 15, 2025
概括
这项研究将几何数据集成到网络分析中,揭示了拓学和几何学如何共同塑造复杂的系统. 这种综合方法提高了对网络复杂性和异质性的理解.
科学领域:
- 复杂系统科学 复杂系统科学
- 网络科学 网络科学
- 数据分析 数据分析
背景情况:
- 复杂网络的多分位分析传统上侧重于拓距离.
- 现有的方法往往忽略了网络结构固有的几何性质.
- 了解网络异质性需要结合各种信息来源.
研究的目的:
- 将几何信息集成到复杂网络的多分位分析框架中.
- 重建网络,同时捕获拓和几何属性.
- 调查几何权重对网络多元化的影响.
主要方法:
- 根据几何信息分配边缘重量来重建网络.
- 使用沙箱算法进行加权网络的多分法分析.
- 分析模型,计算网格和现实世界的网络.
主要成果:
- 网络拓和几何权重之间的协同作用关键调节多层次复杂性.
- 综合的拓和几何信息可以更全面地揭示网络的多分位结构和异质性.
- 引入几何信息影响了不同网络类型的概括式碎形维度.
结论:
- 整合几何信息可以更好地理解复杂的网络结构.
- 这种方法为管理复杂系统的内在机制提供了新的见解.
- 拓学和几何学的相互作用对于网络中出现的多层次复杂性至关重要.
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