On a data model associated with antitrust behaviors

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 resu...

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Main Authors: Weiguang Zhou, Guangxin Wang, Jixiao Lu, Hongxin Ruan, Jun Wang, Rui Zhang
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:Mathematical Modelling and Control
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Online Access:https://www.aimspress.com/article/doi/10.3934/mmc.2024036
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author Weiguang Zhou
Guangxin Wang
Jixiao Lu
Hongxin Ruan
Jun Wang
Rui Zhang
author_facet Weiguang Zhou
Guangxin Wang
Jixiao Lu
Hongxin Ruan
Jun Wang
Rui Zhang
author_sort Weiguang Zhou
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 2767-8946
language English
publishDate 2024-12-01
publisher AIMS Press
record_format Article
series Mathematical Modelling and Control
spelling doaj-art-2b0830b0a24340e1b346c6b70f69a8fb2025-01-24T01:02:17ZengAIMS PressMathematical Modelling and Control2767-89462024-12-014445946910.3934/mmc.2024036On a data model associated with antitrust behaviorsWeiguang Zhou0Guangxin Wang1Jixiao Lu2Hongxin Ruan3Jun Wang4Rui Zhang5Shandong Monitoring Center for Market Regulation, Jinan 250013, ChinaShandong Monitoring Center for Market Regulation, Jinan 250013, ChinaShandong Monitoring Center for Market Regulation, Jinan 250013, ChinaInformation Office, Yankuang Energy Group Company Limited, Zoucheng 273599, ChinaShandong Monitoring Center for Market Regulation, Jinan 250013, ChinaSchool of Mathematics and Information Science, Shandong Technology and Business University, Yantai 264005, ChinaIn 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.https://www.aimspress.com/article/doi/10.3934/mmc.2024036data analysisbig data modelstructural mutationantitrust behaviors
spellingShingle Weiguang Zhou
Guangxin Wang
Jixiao Lu
Hongxin Ruan
Jun Wang
Rui Zhang
On a data model associated with antitrust behaviors
Mathematical Modelling and Control
data analysis
big data model
structural mutation
antitrust behaviors
title On a data model associated with antitrust behaviors
title_full On a data model associated with antitrust behaviors
title_fullStr On a data model associated with antitrust behaviors
title_full_unstemmed On a data model associated with antitrust behaviors
title_short On a data model associated with antitrust behaviors
title_sort on a data model associated with antitrust behaviors
topic data analysis
big data model
structural mutation
antitrust behaviors
url https://www.aimspress.com/article/doi/10.3934/mmc.2024036
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AT junwang onadatamodelassociatedwithantitrustbehaviors
AT ruizhang onadatamodelassociatedwithantitrustbehaviors