DEVELOPMENT OF SOFTWARE TOOLS FOR COLLECTING AND ANALYZING THE DYNAMICS OF TIME SERIES BASED ON USER ACTIVITY IN MASS MEDIA

Otradnov K. K., Strashnov S. V., Kalinin V. N.

this paper is devoted to the study of data collection and analysis of user behavior in social media. The study describes a number of methods developed using the Python language that allow not only to collect data but also to analyze time series, such as the Hurst method. The main focus is on identifying fractal characteristics and the degree of stationarity of distributions of time series parameters.

Keywords:time series dynamics, data analysis, Python, Hurst method, fractal analysis, stationary distributions