In Chinese graded reading, reading resource creation is crucial; yet, there is an issue with incorrect construction. The conventional rating assessment method cannot address the issue of resource development in Chinese graded reading, and the impact is not adequate. Hence, this research examines the creation of Chinese graded reading materials and suggests building them based on network corpus. First, the influencing elements are located using corpus language theory. Then, the indicators are split according to the needs of reading resource creation in order to decrease interference factors. Next, we use corpus language theory to build a network corpus reading resource creation scheme. Then, we investigate the outcomes of this scheme in detail. Based on the findings of the MATLAB simulations, the network corpus outperforms the conventional rating assessment system when it comes to the accuracy rate and time required to generate reading resources, according to certain evaluation criteria.