当前学界中已有的三种通过复杂网络理论分析时间序列的方法（VG、HVG、LPVG）都能够继承时间序列的基本特征，但相应性能例如抗噪以及算法复杂度等都有一 定的局限性 。因此，本文在已有三种方法的基础上提出另外两种可视图建网方法（LPHVG和DLPVG）。-Methods (VG, HVG, LPVG) already in the academic world through a complex network theory of three sequence analysis time are able to inherit the basic characteristics of time series, but the corresponding properties, such as anti-noise and complexity of the algorithm and so have some limitations . Therefore, we propose two other methods can view network construction (LPHVG and DLPVG) On the basis of the existing three methods.