节奏的人类网络中的节奏振荡
Elad Shniderman1,2, Maya Wertsman3, Hadar Granot3
1Department of Humanities and Arts, Technion - Israel Institute of Technology, 32000, Haifa, Israel.
Scientific reports
|July 2, 2025
概括
结合网络中的人类节奏振荡显示出快速和缓慢的模式,主要受平均节奏的影响,而不是网络大小或延迟. 增加的连接性稳定了动态,关键延迟率影响了振荡幅度.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 人类动力学 人类动力学
背景情况:
- 振荡行为是人类网络中同步和协调的基础.
- 了解集体动力学需要分析与反机制相结合的系统.
研究的目的:
- 为了研究复杂的人类网络中的节奏振荡,使用配对的小提琴演奏者.
- 探索连接,延迟和速度对网络振荡动态的影响.
主要方法:
- 利用了配对的小提琴演奏家系统,并控制了网络参数.
- 员工对玩家互动的听觉反延迟.
- 多种网络大小,延迟率和平均节奏来观察振荡模式.
主要成果:
- 确定了两种不同的振荡类型:快速 (2-3秒) 和缓慢 (5-25秒).
- 振荡周期与平均速度相关,独立于网络大小和延迟.
- 增加的连接性增强了振荡缓解;关键延迟率诱导了振幅放大.
结论:
- 节奏是合人类网络中振荡周期的关键决定因素.
- 连接性在稳定网络动态方面发挥着至关重要的作用.
- 结果提供了对合振荡器系统的见解,对群体动态和同步有影响.
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