Departments of Humanities and Arts, Technion - Israel Institute of Technology, Haifa, Israel.
Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel.
Nat Commun. 2024 Oct 28;15(1):9298. doi: 10.1038/s41467-024-53540-7.
Finding the global minimum in complex networks while avoiding local minima is challenging in many types of networks. In human networks and communities, adapting and finding new stable states amid changing conditions due to conflicts, climate changes, or disasters, is crucial. We studied the dynamics of complex networks of violin players and observed that such human networks have different methods to avoid local minima than other non-human networks. Humans can change the coupling strength between them or change their tempo. This leads to different dynamics than other networks and makes human networks more robust and better resilient against perturbations. We observed high-order vortex states, oscillation death, and amplitude death, due to the unique dynamics of the network. This research may have implications in politics, economics, pandemic control, decision-making, and predicting the dynamics of networks with artificial intelligence.
在许多类型的网络中，找到复杂网络中的全局最小值而避免局部最小值是具有挑战性的。在人类网络和社区中，由于冲突、气候变化或灾害等原因，适应和寻找新的稳定状态是至关重要的。我们研究了小提琴演奏者复杂网络的动态，观察到人类网络具有不同于其他非人类网络的避免局部最小值的方法。人类可以改变它们之间的耦合强度或改变节奏。这导致了与其他网络不同的动态，使人类网络更具弹性，对扰动具有更好的恢复能力。由于网络的独特动态，我们观察到了高阶涡旋状态、震荡死亡和振幅死亡。这项研究可能对政治、经济、大流行病控制、决策以及利用人工智能预测网络动态具有影响。
