Methods for identifying an information object in social networks

Social networks are a unique phenomenon in which a large amount of unstructured information about various users is collected. The collected data can be used to identify different groups of users for the purpose of delivering targeted information to them. The article discusses the issues of building models of thematic groups of users based on multi-criteria assessment and using agent technologies of information collection and processing. The implementation of this method expands the possibilities of social research and the formation of thematic user groups for monitoring and analyzing situations in various areas of human activity. The proposed concept has shown its effectiveness on the training and control sample of objects, which makes it possible to predict the effectiveness of the use of agent technologies for scanning information resources of social media.