Fractal time series analysis of social network activities

Публікація:
Fractal time series analysis of social network activities

dc.contributor.author	Kirichenko, L.
dc.contributor.author	Radivilova, T.
dc.contributor.author	Bulakh, V.
dc.date.accessioned	2018-02-14T15:21:56Z
dc.date.available	2018-02-14T15:21:56Z
dc.date.issued	2017
dc.description.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.	uk_UA
dc.identifier.citation	K. 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.2017.8246438	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/4259
dc.language.iso	en	uk_UA
dc.subject	cryptocurrency	uk_UA
dc.subject	multifractal analysis	uk_UA
dc.subject	fractal time series	uk_UA
dc.subject	social network	uk_UA
dc.subject	community	uk_UA
dc.title	Fractal time series analysis of social network activities	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication