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Internet addiction symptoms in a sample of students network analysis data
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Description: In current studies on Internet addiction, the IAT scale, which is widely used for measurement, is mainly studied by using total score method or dimensional scoring method for some special groups. At present, the database mainly provides data support in network analysis for Internet addiction research. In this study,among the 3584 college students recruited from Jiangsu Vocational College of Medicine in Yancheng, Jiangsu in May 2020, 736 participants were excluded from participating in this study because they answered the same question seven times in a row or did not answer carefully.We identified the core symptoms of Internet addiction by analyzing the network analysis charts of the Internet addiction group and the non-internet addiction group.We studied the difference in network structure between Internet addicts and non-Internet addicts.The study found that, the core targets of the IAT scales and the Internet addiction were IAT_15, IAT_17, IAT_12. IAT_10 gains the stronger connections with IAT_11.The study draws the conclusions that ignoring the real world and losing control of one's own behavior are the core symptoms of Internet addiction,and some behaviors that are hidden due to social evaluation may be linked to more addictive behavior symptoms .