Big Data Analysis Based on the Risk of Consumption Rebate Network Pyramid Selling
Authors
Ke Cheng1, *
1Department of Public Security Technology, Jiangxi Police College, city xing bay road no. 1666, Nanchang, China
*Corresponding author.
Email: 740973316@qq.com
Corresponding Author
Ke Cheng
Available Online 29 December 2022.
- DOI
- 10.2991/978-94-6463-042-8_172How to use a DOI?
- Keywords
- consumer rebates; pyramid selling; network platform; Risk analysis
- Abstract
In recent years, " consumption rebate network pyramid selling" has become one of the mainstream criminal modes of pyramid selling crime. Its crime means of concealment, replication fission fast, easy to form a wild growth situation, harm the market economic order, cause mass incidents. Through big data collection and analysis, the research team screened out high-risk platforms of "consumption rebate" in e-commerce industry, mined out the scale of personnel and capital involved in multi-level network marketing, and found the law of crime and revealed market risks.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ke Cheng PY - 2022 DA - 2022/12/29 TI - Big Data Analysis Based on the Risk of Consumption Rebate Network Pyramid Selling BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 1210 EP - 1215 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_172 DO - 10.2991/978-94-6463-042-8_172 ID - Cheng2022 ER -