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|Title:||Fractal time series analysis of social network activities|
fractal time series
|Citation:||K. Lyudmyla, B. Vitalii and R. Tamara, "Fractal time series analysis of social network activities," 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), Kharkov, Ukraine, 2017, pp. 456-459. doi: 10.1109/INFOCOMMST.2017.8246438|
|Abstract:||In the work, a comparative correlation and fractal analysis of time series of Bitcoin crypto currency rate and community activities in social networks associated with Bitcoin was conducted. A significant correlation between the Bitcoin rate and the community activities was detected. Time series fractal analysis indicated the presence of self-similar and multifractal properties. The results of researches showed that the series having a strong correlation dependence have a similar multifractal structure.|
|Appears in Collections:||Кафедра інфокомунікаційної інженерії (ІКІ)|
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