Fractal Time Series Analysis of Social Network Activities
This work provides insights into the relationship between cryptocurrency markets and social media for financial analysts, but it is incremental as it applies existing fractal analysis methods to new data.
The study analyzed the correlation and fractal properties between Bitcoin price time series and related social network activity, finding a significant correlation and similar multifractal structures in strongly correlated series.
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.