METHODS AND DIRECTIONS OF SOCIAL NETWORK ANALYSIS RESEARCH

The article presents the results of a study of the methods and directions of research of social networks. A brief overview of the methods of social network analysis that are used to identify the relationship and interaction between network participants, their classification and prediction of behavior is provided. Using these methods, you can analyze objects such as the social network itself, intra-network networks and communities, individual users, informational messages, opinions, external nodes. The paper describes the most popular areas of social network research: structural, normative, resource and dynamic. The problems of data collection, the scope of application of the results of the analysis of social networks are analyzed. The tasks to be solved with the help of research directions of social networks are given. Some characteristics useful for studying social networks are also presented, methods and algorithms used in various models of social network analysis are briefly outlined.

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