D. O. Toybazarov, S. Atanov, Z. R. Burnayev, Gani Baiseitov, Dauren Kassenov
{"title":"Modeling and Cluster Analysis of Antagonistic Systems","authors":"D. O. Toybazarov, S. Atanov, Z. R. Burnayev, Gani Baiseitov, Dauren Kassenov","doi":"10.1109/icecco53203.2021.9663751","DOIUrl":null,"url":null,"abstract":"This paper presents a consideration about a significant exacerbation of geopolitical contradictions associated with a new redistribution of influence zones. As a result of these processes, a significant increase in instability is observed in many regions, which actualizes the problem of the states security and their citizens. The main antagonistic contradictions are both the source and the driving force of the society historical development. The aim of this study is an attempt to simulate the processes taking place in society using data analysis on the Internet. To analyze these current processes in the world, we use cluster methods for modeling stochastic systems, and a computer parser will be used to collect data. A special aspect of the work is the creation of system attributes based on antagonism.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icecco53203.2021.9663751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a consideration about a significant exacerbation of geopolitical contradictions associated with a new redistribution of influence zones. As a result of these processes, a significant increase in instability is observed in many regions, which actualizes the problem of the states security and their citizens. The main antagonistic contradictions are both the source and the driving force of the society historical development. The aim of this study is an attempt to simulate the processes taking place in society using data analysis on the Internet. To analyze these current processes in the world, we use cluster methods for modeling stochastic systems, and a computer parser will be used to collect data. A special aspect of the work is the creation of system attributes based on antagonism.