Construction of Graduate Student Quality Assurance System Based on Clustering Algorithm Analysis of research hotspots and evolutionary trends

Graduate student quality assurance system plays an important role in promoting the development of universities. This study is based on the PubMed database and the China Knowledge Network (CNKI) database, and citespace visual analysis method and TF-IDF are applied to explore the evolution trend and research hotspots in the field of quality assurance of Chinese postgraduates, and the authors, issuing institutions, keywords, etc. of the screened literature are analyzed visually, and the knowledge map is drawn, and finally 601 pieces of literature are included. The results show that in recent years, the research on China’s postgraduate quality assurance system is changing from high quantity to high quality, and at the same time, we summarize the stages of the development of the postgraduate quality assurance system and put forward the ideas of constructing the postgraduate quality assurance system.