Construction and Prediction of Students’ Multiattribute Social Network Based on Psychological Big Data Analysis

In view of the limitations current research on students’ single attribute psychological problems. this paper, a multiattribute social network model was constructed based data and label data, improved MANE algorithm used to solve problem predict addition, DeepWalk Node2vec embedding algorithms were embed network, respectively, so verify effectiveness model. Finally, prediction problems, paper uses Django web framework, MySQL database, Bootstrap framework design personality system, including storage, training prediction, result display, other modules.