DATA MINING OF USERS'' SOCIAL NETWORK PROFILE FOR DETERMINATION OF TYPOLOGY OF THE CONSUMER. Part I
The article considers a new approach to the definition of the type and psycho type of consumer - social network user, using psychographics methods, data mining and statistical techniques and analytical tools. In the study, we executed testing of respondents in order to identify the properties of their socio-economic preferences. Experimental and research work aimed at solving the problem described in the article, was divided into several complementary to each other and interconnected parts. The article presents the first part of the work, which includes the decision of 3 objectives, namely to obtain quantitative, statistical data on the properties of consumer preferences of users of the social network "VKontakte"; identifying groups of consumers with different severity of socio-psychological properties of preferences; definition of psycho type of user with a set of inherent characteristics and behavior patterns. To achieve the objectives we developed comprehensive software, called "MindScore", with main components at this stage - 1) the module for user authorization through the app of social network "VKontakte" and for extraction data of its social profile, 2) the module for processing and analysis data. In the study we have given rise to the creation of unique algorithms for personality mining using dataset of user profile social network