Mapping the Main Topics of Cryptocurrency: A Bibliometric Analysis by Text Mining
利用文本挖掘模型分析2014至2025年Web of Science中加密货币相关文献，识别出十大研究主题，包括法律监管、数字货币、区块链安全、价格预测等，并揭示其时间演化规律，为研究者提供方向参考。
ABSTRACT Cryptocurrencies have become a vital part of global economic and financial systems. To identify the main themes of cryptocurrency‐related publications, this study analyzes the literature in the Web of Science from 2014 to 2025 using text mining models. The empirical analysis reveals that text mining models exhibit relative strengths in terms of semantic interpretability and structural quality. We find that the main topics related to cryptocurrencies include (1) legal and regulatory issues; (2) currency systems and central bank digital currency; (3) blockchain technology and transaction security; (4) transaction‐network analysis and illicit‐activity detection; (5) adoption and digital finance; (6) financial risk and spillovers; (7) event‐driven market uncertainty; (8) price prediction; (9) trading behavior; and (10) portfolio management. Meanwhile, the temporal analysis shows heterogeneous evolutionary patterns across these themes. By providing a comparative, scalable analysis of cryptocurrency literature, our study suggests future research directions and offers evidence‐based insights into its development.