Article 2119

Title of the article



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

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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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Дата обновления: 18.06.2019 10:53