Synchronization of complex human networks

Synchronization of complex human networks
复制标题

DOI:
10.1038/s41467-020-17540-7
复制
发表时间:
2020-08-11
影响因子:
16.6
通讯作者:
Fridman, Moti
Fridman, Moti
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Shahal, Shir;Wurzberg, Ateret;Fridman, Moti

文献摘要

被引文献

相似文献

人类网络的同步对我们的文明至关重要,了解其动态对我们生活的许多方面都很重要。人类合奏进行了研究,但在嘈杂的环境中,并与有限的控制网络参数,管理网络动态。具体来说,研究主要集中在所有对所有的耦合,而目前的社交网络和人类互动往往是基于复杂的耦合配置。在这里,我们研究了复杂网络中小提琴演奏者之间的同步,并对网络的连通性、耦合强度和延迟进行了全面而准确的控制。我们表明,玩家可以调整他们的播放周期和删除连接忽略令人沮丧的信号,找到一个稳定的解决方案。这些额外的自由度使新的策略和产生更好的解决方案比可能在当前的模型,如仓本模型。我们的研究结果可能会影响许多领域,包括交通管理,流行病控制和股票市场动态。了解人类网络的同步在许多方面都很重要,但目前的研究受到有限的控制和嘈杂的环境的影响。Shahal等人进行了一项定量研究,完全控制了小提琴演奏者之间的网络连接、耦合强度和延迟。
The synchronization of human networks is essential for our civilization and understanding its dynamics is important to many aspects of our lives. Human ensembles were investigated, but in noisy environments and with limited control over the network parameters which govern the network dynamics. Specifically, research has focused predominantly on all-to-all coupling, whereas current social networks and human interactions are often based on complex coupling configurations. Here, we study the synchronization between violin players in complex networks with full and accurate control over the network connectivity, coupling strength, and delay. We show that the players can tune their playing period and delete connections by ignoring frustrating signals, to find a stable solution. These additional degrees of freedom enable new strategies and yield better solutions than are possible within current models such as the Kuramoto model. Our results may influence numerous fields, including traffic management, epidemic control, and stock market dynamics. Understanding the synchronization of human networks is important in many aspects, but current research is suffering from limited control and noisy environments. Shahal et al. show a quantitative study with full control over the network connectivity, coupling strength and delay among interacting violin players.