How to assess the importance of nodes in the network is an open question. There are many ways to identify the importance of nodes in complex networks. However, these methods have their own shortcomings and advantages. In particular, some methods based on the importance of nodes between interactions between nodes have been proposed. These methods utilize local information or path information. How to combine local and global information is still a problem. In this paper, a generalized mechanical model is proposed that uses global information and local information. To verify the effectiveness of the method, some experiments were performed on a total of ten real networks. In particular, an innovative experimental network-based quality assessment was proposed to validate the method of identifying the importance of nodes.

如何评估节点在网络中的重要性是一个悬而未决的问题。有很多方法可以识别复杂网络中节点的重要性。但是，这些方法都有其自身的缺点和优点。特别地，已经提出了一些基于节点之间的交互之间的节点的重要性的方法。这些方法利用本地信息或路径信息。如何结合本地和全球信息仍然是一个问题。本文提出了一种使用全局信息和局部信息的广义力学模型。为了验证该方法的有效性，在总共十个真实网络上进行了一些实验。特别是，提出了一种创新的基于实验网络的质量评估，以验证确定节点重要性的方法。