Analysis of Social Media User Network Access Behavior Based on Web4.0

Abstract

Aiming at the low credibility of traditional social media users' network access behavior analysis methods, this paper proposes a Web4.0-based social media user network access behavior analysis method. By analyzing the relationship between the client and the client, the social media user network access behavior data is collected, based on the academie community's analysis of the social media user network access behavior analysis, combined with the concept and technology of the Web4.0 model. Finally, according to the data analysis, the comparison results of the access results of the social media user network access behavior analysis method based on Web4.0 are higher, and the discriminative coefficients are strong among the structural variables, and the discrimination degree is very high(Abstract).