AI 中文总结
提出“加密微观经济可观测性框架”，通过描述性、不平等和纵向集中度指标，研究五个标签主体类别的比特币财富微观差异，揭示财富高度集中及各主体内不平等情况。
AI 中文摘要
比特币（BTC）财富分布常通过宏观指标研究。本文提出“加密微观经济可观测性框架”，以考察五个标签主体类别（服务、滥用、恶意软件、个人和良性）间的微观层面比特币财富差异。利用多种指标表明，比特币财富在主要类别中高度集中，各主体内不平等程度高且模式持续。
英文摘要
Bitcoin (BTC) wealth distribution is often analyzed with macro indicators such as aggregate addresses, wallet balances, prices, network activity, fees, and hashrate. This letter applies a Crypto-Microeconomic perspective to examine wealth concentration across five labeled economic-agent classes: Service, Abuse, Malware, Individuals, and Benign. Using descriptive statistics, inequality metrics, and longitudinal indicators, we show that Bitcoin wealth is highly concentrated across major classes. Service entities hold the largest share of observed BTC (75.15%), while Abuse controls a disproportionately large share relative to its entity count (24.26% of BTC vs. 3.53% of entities). Individuals, Abuse, and Service show near-maximal within-class inequality (e.g., Gini=0.9993 for Individuals), and time-series analysis indicates these patterns still exist. Overall, Bitcoin wealth among labeled economic agents remains structurally uneven and concentrated in a small subset of entities.
