On a data model associated with antitrust behaviors

Weiguang Zhou; Guangxin Wang; Jixiao Lu; Hongxin Ruan; Jun Wang; Rui Zhang; Weiguang Zhou; Guangxin Wang; Jixiao Lu; Hongxin Ruan; Jun Wang; Rui Zhang

doi:10.3934/mmc.2024036

Mathematical Modelling and Control

2024, Volume 4, Issue 4: 459-469. doi: 10.3934/mmc.2024036

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Research article

On a data model associated with antitrust behaviors

1.
Shandong Monitoring Center for Market Regulation, Jinan 250013, China
2.
Information Office, Yankuang Energy Group Company Limited, Zoucheng 273599, China
3.
School of Mathematics and Information Science, Shandong Technology and Business University, Yantai 264005, China

Received: 22 August 2024 Revised: 07 September 2024 Accepted: 13 September 2024 Published: 20 December 2024

In this paper, we established a big data model based on the data analysis method and the endogenous structure mutation theory, and judged from the dimensions of time and space. Additionally, we gave a detailed inspection and analysis among enterprises producing cement of a certain province. The results indicated that this model can identify monopolistic behaviors from multiple dimensions and, thus, improve regulatory efficiency.
- data analysis,
- big data model,
- structural mutation,
- antitrust behaviors
Citation: Weiguang Zhou, Guangxin Wang, Jixiao Lu, Hongxin Ruan, Jun Wang, Rui Zhang. On a data model associated with antitrust behaviors[J]. Mathematical Modelling and Control, 2024, 4(4): 459-469. doi: 10.3934/mmc.2024036

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Abstract

In this paper, we established a big data model based on the data analysis method and the endogenous structure mutation theory, and judged from the dimensions of time and space. Additionally, we gave a detailed inspection and analysis among enterprises producing cement of a certain province. The results indicated that this model can identify monopolistic behaviors from multiple dimensions and, thus, improve regulatory efficiency.

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