The Optimal Method of Analyzing the Dynamics of Fractal Characteristics of Information Flows
Анотація
In this paper issues for fractal analysis of short time series which reflect information flows have been observed. With methods of fractal Brawn motion short time series with fixed Hurst-exponent have been modeled. The comparative analysis of the accuracy and statistical characteristics of different methods of Hurst-exponent estimation has been made. Method of “sliding window” of Hurst-exponent for estimation of changes in information flows was proposed. Information flow which reflects social activity “Demonstrations” was researched by this method. Results shows that “sliding window” for Hurst-exponent can be used for estimation of changes in structure and behavior of information flows.
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