关于简化复合体中的同步的实验数据集
V P Vera-Ávila1,2, R R Rivera-Durón3, Onofre Orozco-López3
1Unidad Profesional Interdisciplinaria de Ingeniería Campus Guanajuato, Instituto Politécnico Nacional, Guanajuato, 36275, México.
Data in brief
|January 6, 2025
概括
这项研究探讨了使用合的罗斯勒振荡器在复杂系统中的更高阶相互作用. 数据集揭示了线性和非线性合强度如何影响网络中的同步.
科学领域:
- 复杂的系统复杂的系统.
- 非线性动力学是一种非线性动力学.
- 网络科学 网络科学
背景情况:
- 现实世界的系统往往表现出超出简单的对联连接的更高阶交互.
- 仅仅用对互动来建模系统对于大脑,社交网络和生态系统中的现象是不够的.
- 高阶相互作用对集体行为的影响仍然是一个开放的研究问题.
研究的目的:
- 通过实验来研究复杂系统中高阶相互作用的后果.
- 提供线性和非线性合的合非线性振荡器的动态数据集.
- 探索具有复杂交互结构的网络中的同步条件.
主要方法:
- 使用了三个非线性罗塞勒振荡器,在一个简化的复合体中合在一起.
- 实施了四个实验场景,通过不同的变量 (x,y,z) 实现了线性 (扩散) 和非线性 (高阶) 合.
- 获得每种场景的10,000个时间序列 (每一个为30,000个点),系统地修改合强度.
主要成果:
- 在各种合条件下,生成了详细描述合罗斯勒振荡器动态的实验数据集.
- 这些数据允许根据线性和非线性合强度对同步条件进行验证.
- 这些数据集可用于测试用于分析高阶相互作用的新型指标.
结论:
- 该研究提供了有价值的实验数据,用于理解高阶相互作用的复杂网络中的同步.
- 这些发现有助于对复杂系统的理论和数值分析.
- 这些数据集作为未来关于网络动态和新出现的行为研究的资源.
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