Публікація:
Fractal time series analysis of social network activities

dc.contributor.authorKirichenko, L.
dc.contributor.authorRadivilova, T.
dc.contributor.authorBulakh, V.
dc.date.accessioned2018-02-14T15:21:56Z
dc.date.available2018-02-14T15:21:56Z
dc.date.issued2017
dc.description.abstractIn 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.citationK. 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.2017.8246438uk_UA
dc.identifier.urihttp://openarchive.nure.ua/handle/document/4259
dc.language.isoenuk_UA
dc.subjectcryptocurrencyuk_UA
dc.subjectmultifractal analysisuk_UA
dc.subjectfractal time seriesuk_UA
dc.subjectsocial networkuk_UA
dc.subjectcommunityuk_UA
dc.titleFractal time series analysis of social network activitiesuk_UA
dc.typeConference proceedingsuk_UA
dspace.entity.typePublication

Файли

Оригінальний пакет
Зараз показано 1 - 1 з 1
Завантаження...
Зображення мініатюри
Назва:
paper_110 (1).pdf
Розмір:
361.18 KB
Формат:
Adobe Portable Document Format
Ліцензійний пакет
Зараз показано 1 - 1 з 1
Немає доступних мініатюр
Назва:
license.txt
Розмір:
9.42 KB
Формат:
Item-specific license agreed upon to submission
Опис: