Correlation Analysis of Internet Addiction with Daily Behavior: A Data-Driven Method

Internet addiction refers to excessive Internet use in daily life. Its negative impact on college students calls for timely discovery of its reasons and correct guidance. However, present research methods are mainly based on the questionnaire, which can be affected by non-randomly selected samples and a low response rate. Thanks to the development of the smart campus, students' behavior can be recorded as data, thus whether Internet addiction is correlated with daily behavior can be analyzed quantitatively. In this paper, we extracted five features and proposed an Internet Addiction Rating Scale (IARS) to quantify students' Internet addiction level based on the Internet login data, and found that Internet addiction is positively correlated with consumption amount, negatively correlated with consumption speed and academic performance, but has little relationship with self-discipline. Our work throws some light on the relationship between students' Internet addiction and daily behavior through unobtrusive data analysis, helping college management staff detect abnormal learning status timely and reasonably.

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