The Optimal Method of Analyzing the Dynamics of Fractal Characteristics of Information Flows | Zendy

Oleksii Baranovskyi | Zendy

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The Optimal Method of Analyzing the Dynamics of Fractal Characteristics of Information Flows

Author(s) -

Oleksii Baranovskyi

Publication year - 2014

Publication title -

the advanced science journal

Language(s) - English

Resource type - Journals

eISSN - 2219-7478

pISSN - 2219-746X

DOI - 10.15550/asj.2014.07.074

Subject(s) - hurst exponent , fractal , sliding window protocol , detrended fluctuation analysis , series (stratigraphy) , exponent , fractal analysis , statistical physics , flow (mathematics) , time series , mathematics , computer science , statistics , window (computing) , fractal dimension , mathematical analysis , geology , physics , geometry , paleontology , linguistics , philosophy , scaling , operating system

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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