TOPOLOGICAL MODELING OF DIGITAL INFORMATION SPACE

Author:

Davtian A. G.,Shabalina O. A.,Khairov A. V.,Kataev A. V.

Abstract

The article discusses modern approaches to modeling socio-economic systems and methods of modeling information flows that determine systems functioning in the information environment. Principles of modeling socio-economic systems are proposed based on considering the system as a fragment of the information network formed by a set of open interacting socio-economic systems. The properties of the socio-economic system are considered from the point of view of its inclusion in the network. The considered properties are associated not with the system name in the set, but with the functions that the system is endowed with in relation to other systems as elements of the network, which makes it possible to define such a network as a space. The concepts of a system neighborhood, which defines its near environment, and a contour as a chain of information flows, which determine the system inclusion in the information space, have been introduced. A model of digital information space is built as a system of neighborhoods that determines the topology in space. It is shown that the representation of the network as a topological space makes it possible to find for each socio-economic system such contours that determine the mission of the system in society. In this context, the task of management in the socio-economic system is formulated as maintaining its inclusion in these contours, which determines the place and importance of the system in meeting the needs of society, anticipating the emergence of new needs and inclusion in new contours to meet these needs.

Publisher

Izdatel'skii dom Spektr, LLC

Subject

General Materials Science

Reference30 articles.

1. Lipuntsov Yu. P. (2018). Formation of the information space of the digital economy. Vestnik Instituta ekonomiki Rossiyskoy akademii nauk, (6), pp. 90 – 102. Available at: https://cyberleninka.ru/article/n/formirova-nie-informatsionnogo-prostranstva-tsifrovoy-ekonomi-ki (Accessed: 03.03.2022). [in Russian language]

2. Loshin D. (2013). Business Processes and Information Flow. Chapter 6. 2 ed., pp. 77 – 90. New York: Publishers, Morgan Kaufmann.

3. Pil' E. A. (2007). Material, financial and information flows of the company. Problemy sovremennoy ekonomiki, 24(4), pp. 469 – 471. [in Russian language]

4. Menyaev M. F. (2011). Information flows in the control system. Nauka i obrazovanie: nauchnoe izdanie MGTU imeni N. E. Baumana, (5). [in Russian language]

5. White M. S. (2020). Information flows – Or does it? The complexity of enterprise information management. Business Information Review, 37(3), pp. 103 – 110. DOI 10.1177/0266382120950114

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3