Yiwen Yan and Sheng Gu. Establishment and Quantitative Analysis of Influencing Factors Model of Internet Addiction Juvenile Based on Regression Mathematics.  Dynamic Systems and Applications 29 (2020) No. 3, 1039-1049

https://doi.org/10.46719/dsa202029350

ABSTRACT.
The mathematical analysis presented in this article examines the vulnerability of adolescents, the Internet and people’s dependence and happiness, and examines ways to influence it. At the same time, this article examines the differences in perceptions of drug users and non-Internet users on social media platforms and also examines the content. The truth of individual life. The potential uses of online dating will explore personal happiness. Studies have found that online peer scores were influenced by loneliness, leadership, stress, and happiness and happiness (p <0.01), as well as the extent to which online relationships were positive and negative. Compared to other relationships. In addition, online dating was facilitated by downtime and status quo (r = 00.28, p <0.01). True and happy initiation was negatively correlated (r = 00.45, p <0.01). In the analysis of gender identity, Internet fragility, Internet trust, context as independent variables and happiness as variables of trust, Internet access and interpersonal relationships to be included in the regression analysis. The definition of happiness on social networks is 36%. Happiness is called happiness at the rate of 8%.

Keywords: internet addiction; internet addiction susceptibility personality; juvenile; interpersonal; happiness; correlation; experiment.