Study on the influence of social network for college students' mental health through big data technology

Abstract

At present, mental issues have become the main factor leading to college students' suicide, crime and other malignant events. As the key process in mental health education, it is vital to utilize technology to predict psychological problems in advance for the healthy growth of college students. In the past, the commonly used psychological crisis screening methods only consider individual psychological scale, a great quantity of data from social network has not been analyzed in depth. Thanks to data mining technologies, it is possible to build psychological portrait for each student to deeply excavate some hidden information and knowledge. Based on the survey and behavior research of college students' Internet social networking in the era of Internet plus, this paper analyses the influence of social network on college students' mental health according to the law of college students' psychological development. Moreover, this paper also explores the mental health education strategy in the behavior guidance of social network, providing theoretical support for the research and work of ideological and political education in colleges and universities.