Predicting of a person's life activity through quantitative indicators of her personal profile in social networks (on the example of predicting the academic success of students)


  • Pavel N. Ustin Kazan (Volga Region) Federal University, Russian Federation
  • Leonid M. Popov Kazan (Volga Region) Federal University, Russian Federation
  • Ruslan N. Khakimzyanov Kazan (Volga Region) Federal University, Russian Federation
  • Galim Z. Vakhitov Kazan (Volga Region) Federal University, Russian Federation


Personality, Behaviour, Virtual behaviour, Social networks, Prognostics, Life activity, Academic success, Psychometrics, Predictors, Neural networks, Students


The object of this paper is to identify psychological patterns of academic success of an individual as a manifestation of his life activity, based on the analysis of quantitative indicators (metrics) of his profile in social networks. The leading method of research was an ascertaining experiment that included diagnostics of students’ academic success (N≈30 000) and components of their personal profile in social networks (psychometrics). The article shows the features of interaction between real and virtual activity of students through quantitative indicators of their personal profile metrics in social networks. The presented materials significantly fill the psychology of social networks (a new field of psychology, which is at the initial stage of its forming) with knowledge about the psychological regularities of the correlation of academic success of a person with the characteristics of her virtual activity in social networks. The project is implemented within the framework of intensive development of digital technologies and their deep integration into the social space. The results of the study expand the possibilities for diagnosing, analysing, understanding, and predicting the behaviour of a person's success through cyberspace on the example of their academic performance. The scientific novelty of this research consists in the identification of cognitive-behavioural predictors of educational activity of an individual, which are represented in virtual reality, as the result of his activity in social networks through quantitative psychometric indicators - metrics of his personal profile in social networks.


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How to Cite

Ustin, P. N., Popov, L. M., Khakimzyanov, R. N., & Vakhitov, G. Z. (2021). Predicting of a person’s life activity through quantitative indicators of her personal profile in social networks (on the example of predicting the academic success of students). Journal of Human Sport and Exercise, 16(2proc), S377-S386. Retrieved from