Investigation of Susceptible Characteristics in Network MLM and Big Data Prevention
Wenqun Ao, Furong Sun, Zhencai Chen · 2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) · 2021
As a new form of crime in the Internet age, college students are the key targets of network MLM. In order to study the characteristics of the susceptible population of MLM, this article takes college students in Nanchang as an example, collects research data using questionnaires, and conducts actions on 800 college students. Measurements, using methods such as single-factor analysis of variance, multiple comparisons of LSD, and self-analysis of big data documents. The study found that the difference in grade, major, and employment pressure of college students will significantly affect their susceptibility to MLM. Students facing high employment pressure are more susceptible to MLM. Sophomores and juniors in grades are more susceptible than seniors. Professional management Classes and agronomy classes are less susceptible than other majors. Finally, relevant big data visualization, knowledge map and other prevention and control suggestions are putting forward.