Modeling and Cluster Analysis of Antagonistic Systems

D. O. Toybazarov, S. Atanov, Z. R. Burnayev, Gani Baiseitov, Dauren Kassenov
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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.
拮抗系统的建模与聚类分析
本文提出了与新的影响区重新分配相关的地缘政治矛盾显著加剧的考虑。作为这些进程的结果,在许多地区观察到不稳定的显著增加,这实现了国家安全和公民的问题。主要的对抗性矛盾既是社会历史发展的源泉,又是社会历史发展的动力。本研究的目的是试图利用互联网上的数据分析来模拟社会中发生的过程。为了分析目前世界上的这些过程,我们使用聚类方法对随机系统进行建模,并使用计算机解析器收集数据。这项工作的一个特殊方面是基于对抗性的系统属性的创建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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