MANAGERIAL DECISION SUPPORT ALGORITHM BASED ON NETWORK ANALYSIS AND BIG DATA

Social network analysis is a method of big data analysis which reveals the nature of connections between objects, including implicit connections. This is a tool of interest since it can be applied to large data sets, manual processing of which is very laborintensive, while automated processing through self-learning linguistic engines requires a lot of resources. In this regard a study was carried out: it was aimed at development and testing of social network analysis tools and creating a research algorithm which is applicable to solve a wide range of analytical and search tasks. The current image of Russia and its activities in the Arctic was chosen as a case. The research algorithm helps to discover implicit patterns and trends, relate information flows and events with relevant newsworthy events and news stories to form a “clear” view of the study object and key actors which this object is associated with. The work contributes to filling the gap in scientific literature, caused by insufficient development of applied issues of using social network analysis to solve managerial tasks, while theoretical papers, which describe the theory and methodology of such an analysis, are abundant.