Research and Development of Software for Collecting, Processing, Analyzing and Visualizing User's Data from Social Networks

The object of development is a system for collecting and analyzing information from users of social networks and the issuance of this data in the form of visualized graphs. The aim of the work is to develop a system for collecting data from the social network "Vkontakte" of the specified individual user using the API used by the site "Vkontakte", as well as the development of an interface and data analysis system, and data transformation into graphs. The aim of the work is to develop a system for collecting data from the social network "Vkontakte" of the specified individual user using the API used by the site "Vkontakte", as well as the development of an interface and data analysis system, and data transformation into graphs. In the course of the work, social networks possible as platforms for collecting information were studied, various methods of collecting and analyzing data were also studied, from which, in the end, the main API method (application program interface) was chosen, through which most of the necessary information can be obtained. Algorithms for data analysis were also chosen, for example: algorithms for relationships, clustering, decision tree, linear regression. For the analysis, the PHP Text analysis library was chosen and on its basis a data analysis system was developed. A graph algorithm was developed for data visualization. The resulting system can be used both to search for a user and to analyze his social activity on the network. The volume of the report on final qualifying work, not including the annex, is – 72 pages. The number of tables in the work – 3, illustrations – 26, sources of literature – 16.