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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.