Proceedings of the 2nd International Scientific and Practical Conference on Digital Economy (ISCDE 2020)

Social Interaction Profiling: Analysis of Theoretical Approaches

Authors
N.V. Nyatina
Corresponding Author
N.V. Nyatina
Available Online 7 December 2020.
DOI
10.2991/aebmr.k.201205.116How to use a DOI?
Keywords
social interactions, profiling, personality, sociological concepts, deviant behavior, crime
Abstract

In modern society, social interactions are manifested in various social practices. However, the contradictions that underlie the Commission of antisocial actions and the consequences that occur as a result of their implementation require proper research and institutional attention. Profiling is an important technology that aims to diagnose the asociality of a person’s behavioral practices. This article analyzes the theoretical approaches to the possibilities of using profiling of social interactions of the individual.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Scientific and Practical Conference on Digital Economy (ISCDE 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
7 December 2020
ISBN
10.2991/aebmr.k.201205.116
ISSN
2352-5428
DOI
10.2991/aebmr.k.201205.116How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - N.V. Nyatina
PY  - 2020
DA  - 2020/12/07
TI  - Social Interaction Profiling: Analysis of Theoretical Approaches
BT  - Proceedings of the 2nd International Scientific and Practical Conference on Digital Economy (ISCDE 2020)
PB  - Atlantis Press
SP  - 679
EP  - 683
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201205.116
DO  - 10.2991/aebmr.k.201205.116
ID  - Nyatina2020
ER  -