Kirichenko, L.Radivilova, T.Bulakh, V.2018-02-142018-02-142017K. Lyudmyla, Bulakh V. 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.2017.8246438http://openarchive.nure.ua/handle/document/4259In 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.encryptocurrencymultifractal analysisfractal time seriessocial networkcommunityConference proceedings