一个基于在P空间中的表示的事件链接网络模型
Wenjun Zhang1, Xiangna Chen2,3, Weibing Deng3
1School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei 230012, China.
Entropy (Basel, Switzerland)
|April 26, 2025
概括
本研究介绍了一个事件链接模型,用于在P空间中生成复杂的网络,克服以前的挑战. 该模型准确地复制了现实世界的网络属性,如小世界行为和无尺度结构.
科学领域:
- 复杂的网络分析.
- 网络建模 网络建模
- 数据科学是数据科学.
背景情况:
- L空间和P空间是复杂网络的关键表示.
- 在P空间中生成网络对于现有模型来说是具有挑战性的.
- 了解P空间网络机制至关重要.
研究的目的:
- 在P空间实证分析节点分布和网络属性.
- 提出一个新的事件链接模型用于P空间网络生成.
- 在P空间中研究现实世界网络的操作机制.
主要方法:
- 在P空间中对节点分布的实证分析.
- 使用真实运输网络数据开发一个事件链接模型.
- 模拟实验用于评估拓特征和参数效应.
主要成果:
- 事件链接模型成功地在P空间中生成网络.
- 模拟与理论分析保持一致.
- 生成的网络表现出小世界,无尺度的属性和高集群.
结论:
- 事件链接模型有效地生成具有类似现实数据的稳定结构的网络.
- 可调节的参数允许灵活控制网络的增长和演变.
- 该模型提供了对P空间网络机制的洞察.
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