Assessing the impact of promotion algorithms in social networks on user popularity
Dmitry M. Nazarov - Doctor of economic sciences, associate professor, head of the department of business informatics. Ural State University of Economics
Anton A. Kopnin - Student of the institute of digital technologies of management and information security. Ural State University of Economics
Abstract
In the modern world, social networks are one of the main tools for interaction between people and are becoming more and more popular. Therefore, it is important to understand how the algorithms of social networks and the structural and dynamic aspects of user behavior affect their popularity. The study is based on graph theory and the Frobenius – Perron theory of non-negative matrix decomposition using the stationary distribution of Markov chains. As a result, the behavior of the model over a long period of time is shown and appropriate conclusions are made about the distribution and popularity of users in social networks.
Keywords: social network; recommendation; trend; popularity; promotion; mathematical model.
For citation: Nazarov D. M., Kopnin A. A. Assessing the impact of promotion algorithms in social networks on user popularity. Digital models and solutions. 2022. Vol. 1, no. 1. DOI: 10.29141/2782-4934-2022-1-1-3. EDN: MGKJSR.
