(ω_{1},ω_{2}) - 时间随机的过度图形
Sofoclis Zambirinis1, Fragkiskos Papadopoulos1
1Department of Electrical Engineering, Computer Engineering and Informatics, <a href="https://ror.org/05qt8tf94">Cyprus University of Technology</a>, 3036 Limassol, Cyprus.
Physical review. E
|September 19, 2024
概括
我们介绍了一种新的模型,用于具有持久连接和断开连接的时间随机超标图. 这种模型可以更好地控制网络动态,并分析时间网络属性.
科学领域:
- 网络科学 网络科学
- 复杂的系统复杂的系统.
- 图形理论 图形理论
背景情况:
- 时间网络捕捉了随着时间的推移而发生的动态交互.
- 现有的模型可能不能完全代表持久链路动态.
- 随机过度图形为复杂网络分析提供了一个框架.
研究的目的:
- 扩展随机过度图形模型以包含持久连接和断开连接的概率.
- 分析扩展模型的分析挑战和关键属性.
- 为研究时间网络动态提供更灵活的工具.
主要方法:
- 一个最近的时间随机过度图形模型的扩展.
- 包含连接和断开连接持久性的不同概率 (ω1和ω2).
- 分析处理涉及Appell F1系列,以导出网络属性.
主要成果:
- 对接触和接触间持续时间分布的分析.
- 计算预期的时间聚合度.
- 通过 ω1 和 ω2.2 演示时间网络属性的灵活调.
结论:
- 扩展模型提供了对时间网络动态的增强控制.
- 为分析时间网络提供了更深入的见解.
- 有助于更普遍的真实世界动态系统的表现.
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