The construction of hierarchical network model and wireless activation diffusion optimization model in English teaching

Abstract

Wireless communication plays an important role in modern higher education. This paper first analyzes the storage mechanism and data structure of the hierarchical network model, then fits the time series of user behavior attribute data, and uses the information-filtering algorithm to filter the interference information and redundant information in the social network. The feature extraction of association rules applies fuzzy data clustering to the mining and clustering of relational data in hierarchical networks. The simulation results show that the algorithm model has high accuracy and reliability and improves the ability of deep mining in English teaching.