Research On Network Dependence Of College Students Based On Network Traffic

Tremendous growth of the Internet provides a big space for social progress andtechnological development. As an important part, campus network attracts moreattention. The impact of network development on contemporary college students isemphasized by more and more researchers. For addiction to network, the people whoexperts and scholars generally concern are schoolchildren. But for network behaviorand addiction about university students, the research is not enough. And currentresearches is conducted from the angle of psychology and sociology. So to describethe real network behavior record by the method of Mathematical statistics, analyseand resolve the problem is a new try and innovation.To establish a model about the dependence of college students on network,would contribute to help students thinking educators teach and introduce the students.And provide reference for network management at the same time, improving the levelof school management. The paper discusses the question of how to establish themodel, analysing the question related to network flow and behavior and introducingthe key skill to establish the model. Then a method based on the behavior of visitingusers is put forward and a model is established. Finally, the model is tested by thedata of Yunnan Normal University and a conclusion about network dependence ofstudents is got.Research and analysis have found:(1) The detection rate of college students more dependent on the network is6.25%, where the number of boys to be more dependent on the network is more thangirls, the number of freshman to junior presents a tendency of increasing proportion,junior to senior year rate drops slightly.(2) Significantly, college students, relying on network, have more time in thedialy and a week than college students who have not the phenomenon of Internet addiction.(3) College students’ network dependent regression equation has a goodprediction effect, and their time online every day has important influence on theresults.(4) If the time college students surfing the Internet every day is within3.28hours and22.5hours every week, they are at safe access to the Internet.(5) Incidence of different professional networks rely on comparative differencewas statistically significant. In addition to the student own factor, the degree ofdependence relys on the students’ major, grade, curriculum and the matching degreeof major and interest,forming an important factor of network dependence.