Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies-Reference-Cited by-同舟云学术

Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies

Published:2016-08-17 Issue:8 Volume:11 Page:e0161197
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Kim Young Bin,Kim Jun Gi,Kim Wook,Im Jae Ho,Kim Tae Hyeong,Kang Shin Jin,Kim Chang Hun

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference54 articles.

1. Nakamoto S. Bitcoin: A peer-to-peer electronic cash system. 2008.

2. An analysis of anonymity in the bitcoin system;F Reid,2013

3. Bitcoin: Economics, technology, and governance;R Böhme;The Journal of Economic Perspectives,2015

4. Bitcoin: an innovative alternative digital currency;R Grinberg;Hastings Sci & Tech LJ,2012

5. Ahamad S, Nair M, Varghese B, editors. A survey on crypto currencies. 4th International Conference on Advances in Computer Science, AETACS; 2013: Citeseer.

Cited by 158 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable machine learning for high frequency trading dynamics discovery;Information Sciences;2024-12

2. Probabilistic deep learning and transfer learning for robust cryptocurrency price prediction;Expert Systems with Applications;2024-12

3. Complex network analysis of cryptocurrency market during crashes;Physica A: Statistical Mechanics and its Applications;2024-11

4. Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach;Stat;2024-09

5. Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions;Forecasting;2024-08-15