Modeling the trajectories of interests and preferences of users in digital social systems

Abstract

Social networks contain a lot of information about users, analyzing which one can draw a conclusion, among other things, about the interests of these users. This paper presents the approaches for static and dynamic analysis of digital footprints of social systems users’, which represents both individual users and user communities in the space of their interests. To do this, topic models were built on such user data as posts and groups, based on the obtained probabilities, multimodal graphs were built, the vertices of which are the received user interests. To analyze changes in user interests, the concept of an interest trajectory was introduced, which allows you to visually monitor the change in the interests of one user, a group of users, and also numerically evaluate this change. The scientific novelty of our approach lies in the proposed method for constructing a multimodal space of user interests and a model of user interest trajectories.