Open AccessDifference Analysis and Multiple Regression of College Students’ Network Behavior from the Perspective of Big Data
Author(s) -
Jianjian Wang,
Miao Wenqiang,
Sheng Guofang,
Zeyu Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1861/1/012032
Subject(s) - ideology , perspective (graphical) , the internet , political education , network media , path analysis (statistics) , regression analysis , psychology , computer science , mathematics education , survey data collection , politics , world wide web , political science , artificial intelligence , statistics , mathematics , telecommunications , machine learning , law
With the rapid development of information technology, the Internet has become the main media and important way for college students to obtain information, learn and communicate. The advent of the era of new media has greatly enriched the means and approaches of ideological work in colleges and universities. Therefore, the research on college students’ Internet behavior is particularly important. Through questionnaire survey and using SPSS data processing software, this paper conducts a difference analysis on the network behavior of different groups of college students, carries out multiple regression on the influencing factors of college students’ network behavior, summarizes the existing problems and puts forward reasonable suggestions, so as to explore the leading path of ideological and political education on college students’ network behavior.