DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS

The article provides an overview of citizens’ participation in social networks according to the results of 2018 in the Republic of Kazakhstan in comparison with the data of the Statistics Committee. From year to year, the main goals of Internet use by residents of the country are participation in...

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Autores principales:	M. Ryspayeva, O. Salykova
Formato:	article
Lenguaje:	EN
Publicado:	Astana IT University 2020
Materias:	social networks parameters fake accounts data relationships big data social networks Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/e353942099ca49e6bfc21e1027334bff
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id	oai:doaj.org-article:e353942099ca49e6bfc21e1027334bff
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spelling	oai:doaj.org-article:e353942099ca49e6bfc21e1027334bff2021-12-02T12:24:59ZDETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS10.37943/AITU.2020.12.13.0102707-90312707-904Xhttps://doaj.org/article/e353942099ca49e6bfc21e1027334bff2020-06-01T00:00:00Zhttps://sj.astanait.edu.kz/wp-content/uploads/2020/07/Journal-AITU_2-110-120.pdfhttps://doaj.org/toc/2707-9031https://doaj.org/toc/2707-904XThe article provides an overview of citizens’ participation in social networks according to the results of 2018 in the Republic of Kazakhstan in comparison with the data of the Statistics Committee. From year to year, the main goals of Internet use by residents of the country are participation in social networks, posting information and instant messaging, which show an increasing interest in social networks. In turn, the article’s purpose is to determine the parameters that indicate real and fake accounts on social networks and the distribution of parameters in groups. According to open information on social networks and their APIs, three groups of the parameters were selected: account information, completeness of the account, and friends. The groups of parameters are given by the example of using the Graph API Explorer of the Facebook. The relationships between the parameters were analyzed, and their effect on the decisions of the algorithms was determined. The hypothesis is outlined that, it is possible to more accurately determine the ownership of accounts on the basis of friends and family relationships. Often, an account contains bot behaviour; however, it belongs to a person. The algorithms must identify the actions of these exceptions. The researchers suggest that the special influence on the algorithm results within the “Friends” parameters can be defined with a detailed scan of family relationships.M. RyspayevaO. SalykovaAstana IT Universityarticlesocial networks parametersfake accountsdata relationshipsbig datasocial networksInformation technologyT58.5-58.64ENScientific Journal of Astana IT University, Vol 2, Iss 2, Pp 110-120 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	social networks parameters fake accounts data relationships big data social networks Information technology T58.5-58.64
spellingShingle	social networks parameters fake accounts data relationships big data social networks Information technology T58.5-58.64 M. Ryspayeva O. Salykova DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS
description	The article provides an overview of citizens’ participation in social networks according to the results of 2018 in the Republic of Kazakhstan in comparison with the data of the Statistics Committee. From year to year, the main goals of Internet use by residents of the country are participation in social networks, posting information and instant messaging, which show an increasing interest in social networks. In turn, the article’s purpose is to determine the parameters that indicate real and fake accounts on social networks and the distribution of parameters in groups. According to open information on social networks and their APIs, three groups of the parameters were selected: account information, completeness of the account, and friends. The groups of parameters are given by the example of using the Graph API Explorer of the Facebook. The relationships between the parameters were analyzed, and their effect on the decisions of the algorithms was determined. The hypothesis is outlined that, it is possible to more accurately determine the ownership of accounts on the basis of friends and family relationships. Often, an account contains bot behaviour; however, it belongs to a person. The algorithms must identify the actions of these exceptions. The researchers suggest that the special influence on the algorithm results within the “Friends” parameters can be defined with a detailed scan of family relationships.
format	article
author	M. Ryspayeva O. Salykova
author_facet	M. Ryspayeva O. Salykova
author_sort	M. Ryspayeva
title	DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS
title_short	DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS
title_full	DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS
title_fullStr	DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS
title_full_unstemmed	DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS
title_sort	determination of parameters and their relationships in social network accounts
publisher	Astana IT University
publishDate	2020
url	https://doaj.org/article/e353942099ca49e6bfc21e1027334bff
work_keys_str_mv	AT mryspayeva determinationofparametersandtheirrelationshipsinsocialnetworkaccounts AT osalykova determinationofparametersandtheirrelationshipsinsocialnetworkaccounts
_version_	1718394487368056832

DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS

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