Article 2119

Title of the article

MATHEMATICAL MODELING OF THE SOCIAL ENVIRONMENT STATE BASED ON SET THEORY 

Authors

Timonin Aleksey Yurievich, Postgraduate student, Penza State University (40 Krasnay street, Penza, Russia), E-mail: c013s017b301f018@mail.ru 

Index UDK

004.94 

DOI

10.21685/2072-3059-2019-1-2 

Abstract

Background. The work relevance is to solve the information support problems for the socio-economic system management. That uses large amounts of unstructured WWW data. The work purpose is to formalize interacting social environment objects. It is necessary to the subsequent formalization of the social profiling methods based on a Big Data system.
Materials and methods. The research materials are the information of the social environment and its constituent elements. Social environment is represented by a set of interacting personal and group social profiles (SP). Personal SP is detailed to static and dynamic parts. Social profiles and environments models use the methodological foundations of set theory, semantic networks and metagraphs.
Results. The concepts of social fact (SF), social profile of a person (PSP or SP) and a group of people (GSP) are formalized. Mathematical models have been developed to describe the social profiles of an individual and a group of people, as well as the social environment based on them. They can find practical application in the tasks of social and economic management.
Conclusions. The aggregated results make it possible to systematize the processes of collecting and analyzing the social environment data. It helps to uniting the social profiles into groups and conducting applied research on them. 

Key words

social profile, social environment, social phenomena, set theory, graph theory, unstructured data, Big Data 

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References

1. Osipov G. V. Sotsiologicheskiy entsiklopedicheskiy slovar' [Sociological encyclopedic dictionary]. Moscow: M-Norma, 1998, 480 p. [In Russian]
2. Bozhday A. S., Timonin A. Yu. Aktual'nye voprosy sovremennoy nauki: teoriya i praktika nauchnykh issledovaniy: sb. nauch. tr. Vseros. nauch.-prakt. konf. [Actual issues of modern science: theory and practice of research: proceedings of All-Russian scientific and practical conference]. Penza: Izd-vo PenzGTU, 2017, pp. 257–260. [In Russian]
3. Sowa J. F. Computational Linguistics. 1986, vol. 12, no. 3, pp. 218–219. 
4. Timonin A. Yu. Novye informatsionnye tekhnologii i sistemy: sb. nauch. st. XII
Mezhdunar. nauch.-tekhn. konf. [New information technologies and systems: proceedings of XII scientific and engineering conference]. Penza: Izd-vo PGU, 2015, pp. 221–224. [In Russian]
5. Bozhday A. S., Evseeva Yu. I. Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Tekhnicheskie nauki [University proceedings. Volga region. Engineering sciences]. 2018, no. 2 (46), pp. 74–86. DOI 10.21685/2072-3059-2018-2-7. [In Russian]
6. Tselykh A. A., Dedyulina M. A. Modelirovanie, optimizatsiya i informatsionnye tekhnologii [Modeling, optimization and information technology]. 2018, vol. 6, no. 4. Available at: https://moit.vivt.ru/wp-content/uploads/2018/10/TselykhDedyulina_4_
18_1.pdf (accessed Nov. 25, 2018). [In Russian]
7. Barabási A. L., Albert R. Science. 1999, vol. 286, no. 5439, pp. 509–512.
8. Churakov A. N. Sotsiologicheskie issledovaniya [Sociological studies]. 2001, no. 1, pp. 109–121. [In Russian]
9. Basu A., Blanning R. W. Metagraphs and Their Applications. Springer US, 2007, 172 p. DOI 10.1007/978-0-387-37234-1
10. Babkin E. A., Kozyrev O. R., Kurkina I. V. Printsipy i algoritmy iskusstvennogo intellekta: monografiya [Principles and algorithms of artificial intelligence: a monograph]. Nizhniy Novgorod: Nizhegorodskiy gosudarstvennyy tekhnologicheskiy universitet, 2006, 132 p. [In Russian]
11. Timonin A. Yu., Bozhday A. S., Bershadskiy A. M., Koshevoy O. S. Digital Transformation and Global Society. DTGS 2018. Communications in Computer and Information Science (Rossiya, g. Sankt-Peterburg, 30 maya – 2 iyunya 2018 g.). Springer International Publishing, Switzerland, 2018, vol. 858, pp. 436–445. DOI 10.1007/978-3-030-02843-5.

 

Дата создания: 18.06.2019 10:28
Дата обновления: 18.06.2019 10:53