多重网络的集体动态与不同的适应规则
Akash Yadav1, Qazi Saaheelur Rahaman1,2, V K Chandrasekar3
1Indian Institute of Science Education and Research, School of Physics, Thiruvananthapuram 695551, Kerala, India.
Physical review. E
|January 21, 2026
概括
我们在适应合的库拉莫托振荡器的多重网络中探索了集体动态. 不同的适应规则创造了丰富的集体状态,这种状态在单层网络中是不可见的.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 非线性动力学是一种非线性动力学.
背景情况:
- 多重网络由多层相互连接的节点组成.
- 适应性合允许网络结构随着时间的推移而改变.
- 库拉莫托振荡器是研究同步现象的标准模型.
研究的目的:
- 通过特定层的适应规则研究多重网络的集体动态.
- 识别和描述新兴的集体状态.
- 了解层间合在同步中的作用.
主要方法:
- 在多重网络上模拟自适应合的库拉莫托振荡器.
- 集体状态的特征使用内层和间层顺序参数.
- 使用集体坐标方法对关键合强度的分析估计.
主要成果:
- 发现了各种集体状态:不连贯,反脚-不连贯,反脚集群,反脚-部分连贯,混合和反脚状态.
- 证明复杂化和独特的适应规则导致了新的集体行为.
- 对于层间频率同步的分析预测的验证.
结论:
- 多重网络中的适应机制的相互作用产生了复杂的集体动态.
- 多重性对于观察超出单层系统的状态至关重要.
- 分析方法可以准确预测这些复杂系统中的同步值.
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