针对Vicsek模型收敛速度较慢和一致程度较低的问题,利用动态网络的拓扑结构并结合复杂网络中度的概念,提出一种以度为权重提高Vicsek模型收敛效率的新方法.进一步以动态网络的度的幂指数得到模型的推广形式,该指数的范围为[0,∞).仿真实验结果表明,改进后模型的收敛效率优于原模型,且收敛效率随着指数的增加而增大. Aiming at the problems of slower and less consistent Vicsek model convergence, this paper proposes a new method to improve the convergence efficiency of Vicsek model by using the topological structure of dynamic network and the concept of moderate degree of complex network.With the dynamic network The exponent of the power index is in the form of generalized [0, ∞) .The simulation results show that the convergence efficiency of the improved model is better than that of the original model, and the convergence efficiency increases with the increase of the index.