DETERMINATION OF PARAMETERS AND THEIR RELATIONSHIPS IN SOCIAL NETWORK ACCOUNTS

Abstract

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.

Keywords

• social networks parameters
• fake accounts
• data relationships
• big data
• social networks