DEVELOPMENT OF AN ALGORITHM AND SOFTWARE FOR GRAPHIC VISUALIZATION OF RELATIONSHIPS OF INVOLVED USERS

Abstract

In recent years, there has been a surge in research interest in identifying criminals through social media accounts and analyzing the visualization of the connections of involved users, as criminals actively use social networks, and the number of calls for extremism through social networks is growing every year. This paper deals with the actual problem of using social network analysis and identification methods based on publicly available user profile data. The development of an algorithm and software for graphical visualization of the connections of involved users to identify nodes for the dissemination of criminal information in social networks is considered. It provides an overview of existing solutions and approaches, and also proposes its own graphical visualization algorithm. The results of the experiment show a high accuracy in determining the involved users.