@ARTICLE{Telenyk_Sergii_An_Early,
 author={Telenyk, Sergii and Nowakowski, Grzegorz and Gavrilenko, Olena and Miahkyi, Mykhailo and Khalus, Olena},
 journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
 pages={e150117},
 howpublished={online},
 year={Early Access},
 abstract={In this work, the level of influence of the posts published by famous people on social networks on the formation of the cryptocurrency exchange rate is investigated. Celebrities who are familiar with the financial industry, especially with the cryptocurrency market, or are somehow connected to a certain cryptocurrency, such as Elon Musk with Dogecoin, are chosen as experts whose influence through social media posts on cryptocurrency rates is examined. This research is conducted based on statistical analysis. Real cryptocurrency exchange rate forecasts for the selected time period and predicted ones for the same period, obtained using three algorithms, are utilized as a dataset. This paper uses methods such as statistical hypotheses regarding the significance of Spearman’s rank correlation coefficient and Pearson’s correlation. It is confirmed that the posts by famous people on social networks significantly affect the exchange rates of cryptocurrencies.},
 type={Article},
 title={An Analysis of the Influence of Posts by Famous People on Social Networks on the Cryptocurrency Course},
 URL={http://www.journals.pan.pl/Content/130880/PDF/BPASTS-03848-EA.pdf},
 doi={10.24425/bpasts.2024.150117},
 keywords={cryptocurrency exchange rate, forecasting algorithms, posts on social networks, methods of statistical analysis, information technology of intellectual analysis},
}