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Research Article | Open Access

On a data model associated with antitrust behaviors

Weiguang Zhou1, Guangxin Wang1, Jixiao Lu1, Hongxin Ruan2, Jun Wang1, Rui Zhang3( )
Shandong Monitoring Center for Market Regulation, Jinan 250013, China
Information Office, Yankuang Energy Group Company Limited, Zoucheng 273599, China
School of Mathematics and Information Science, Shandong Technology and Business University, Yantai 264005, China
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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.

Keywords

data analysisbig data modelstructural mutationantitrust behaviors

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Mathematical Modelling and Control
Volume 4 Issue 4,
December 2024
Pages 459-469
DOI: 10.3934/mmc.2024036

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Cite this article:
Zhou W, Wang G, Lu J, et al. On a data model associated with antitrust behaviors. Mathematical Modelling and Control, 2024, 4(4): 459-469. https://doi.org/10.3934/mmc.2024036

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Received: 22 August 2024
Revised: 07 September 2024
Accepted: 13 September 2024
Published: 15 December 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)