论文标题
耦合的逻辑图中的各种网络结构的自发组织随着连接变化的延迟
Spontaneous organizations of diverse network structures in coupled logistic maps with a delayed connection change
论文作者
论文摘要
在这项研究中，我们对耦合的逻辑图中元素之间有效网络结构的自发形成进行了全面的形态研究，特别是随着连接变化的延迟。我们提出的模型显示了十个具有网络拓扑结构和动态特征不同的状态。基于参数值，发现了各种稳定的网络，例如具有起搏器或多层层的层次网络，以及循环形网络。我们还发现了各种动态网络，并在连接中发生时间变化，这涉及隐藏的网络结构。此外，我们发现形成的网络结构的形状与组成元素的动态特征高度相关。目前的结果为神经网络以及其他各种生物和社交网络的动态提供了多种见解。
In this study, we performed comprehensive morphological investigations of the spontaneous formations of effective network structures among elements in coupled logistic maps, specifically with a delayed connection change. Our proposed model showed ten states with different structural and dynamic features of the network topologies. Based on the parameter values, various stable networks, such as hierarchal networks with pacemakers or multiple layers, and a loop-shaped network were found. We also found various dynamic networks with temporal changes in the connections, which involved hidden network structures. Furthermore, we found that the shapes of the formed network structures were highly correlated to the dynamic features of the constituent elements. The present results provide diverse insights into the dynamics of neural networks and various other biological and social networks.
