Abstract: In the knowledge generation community, the network relationship in the real world does not match the traditional classic model because of some artificial evolution characteristics. In this paper, the parameter distribution and time-varying characteristics of the network are introduced into the network, and the evolution process of the network is analyzed dynamically, which provides an objective reference for the construction of the network. Based on the quantitative analysis of label network parameters, this paper proposes a knowledge label connection model based on Barbési-Albert (BA) model, named batch cross-linking BA model, to simulate the complexity of the time-varying parameter series in generation process of the knowledge label network. The simulation results of the model are in good agreement with the actual knowledge label network. This model is helpful for us to understand the complex network in the real world. At the same time, it is more reasonable to use time-varying analysis method to analyze the dynamic trend of the network than static analysis method.