Predicting Fluctuations in Cryptocurrency Transactions Based on UserComments and Replies
| العنوان: | Predicting Fluctuations in Cryptocurrency Transactions Based on UserComments and Replies |
|---|---|
| المؤلفون: | Young-bin Kim, Jun Gi Kim, Shin-Jin Kang, Wook Kim, Jae Ho Im, Taehyeong Kim, Chang-Hun Kim |
| المصدر: | PLOS ONE(11): 8 PLoS ONE, Vol 11, Iss 8, p e0161197 (2016) PLoS ONE |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Computer science, Physiology, Social Sciences, lcsh:Medicine, 02 engineering and technology, 01 natural sciences, Machine Learning, Database and Informatics Methods, Mathematical and Statistical Techniques, Sociology, 0202 electrical engineering, electronic engineering, information engineering, Econometrics, Medicine and Health Sciences, Biomechanics, Computer Networks, lcsh:Science, Multidisciplinary, Applied Mathematics, Simulation and Modeling, Commerce, Social Communication, Variety (cybernetics), Social Networks, Physical Sciences, Information Retrieval, 020201 artificial intelligence & image processing, The Internet, Statistics (Mathematics), Network Analysis, Algorithms, Research Article, Cryptocurrency, Computer and Information Sciences, Twitter, Research and Analysis Methods, Machine Learning Algorithms, Artificial Intelligence, 0103 physical sciences, Humans, Social media, Statistical Methods, 010306 general physics, Internet, business.industry, Biological Locomotion, lcsh:R, Biology and Life Sciences, Models, Theoretical, Communications, Crawling, Currency, Cognitive Science, lcsh:Q, business, Social Media, Mathematics, Forecasting, Neuroscience |
| الوصف: | This paper proposes a method to predict fluctuations in the prices of cryptocurrencies, which are increasingly used for online transactions worldwide. Little research has been conducted on predicting fluctuations in the price and number of transactions of a variety of cryptocurrencies. Moreover, the few methods proposed to predict fluctuation in currency prices are inefficient because they fail to take into account the differences in attributes between real currencies and cryptocurrencies. This paper analyzes user comments in online cryptocurrency communities to predict fluctuations in the prices of cryptocurrencies and the number of transactions. By focusing on three cryptocurrencies, each with a large market size and user base, this paper attempts to predict such fluctuations by using a simple and efficient method. |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc2cea31f1f84c97edc3f9f89ab64360 http://open-repository.kisti.re.kr/cube/handle/open_repository/483437.do |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....fc2cea31f1f84c97edc3f9f89ab64360 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |