通过队列分析解读比特币区块链数据
Deciphering Bitcoin Blockchain Data by Cohort Analysis
AI总结：
本文应用队列分析方法高效处理比特币区块链超16亿笔交易数据，生成STXO寿命与UTXO年龄分布，为比特币经济研究提供可行途径。
摘要：
比特币是一种点对点电子支付系统，近年来迅速普及。通常，必须查询比特币区块链的完整历史数据才能获取具有经济意义的变量。由于比特币区块链上已有超过16亿笔历史交易，这一任务近来变得日益困难。因此，以更高效且能提供经济洞察的方式查询比特币交易数据显得尤为重要。我们应用队列分析，利用社会科学中为人口数据开发的方法来解读比特币区块链数据。具体而言，我们在每个日队列内查询并处理比特币交易的输入和输出数据。这使我们能够为一些关键的比特币交易指标创建数据集和可视化，包括已花费交易输出（STXO）的每日寿命分布和累计未花费交易输出（UTXO）的每日年龄分布。我们提供了一种计算上可行的方法来刻画比特币交易，为未来比特币的经济研究铺平了道路。
英文摘要：
Bitcoin is a peer-to-peer electronic payment system that has rapidly grown in popularity in recent years. Usually, the complete history of Bitcoin blockchain data must be queried to acquire variables with economic meaning. This task has recently become increasingly difficult, as there are over 1.6 billion historical transactions on the Bitcoin blockchain. It is thus important to query Bitcoin transaction data in a way that is more efficient and provides economic insights. We apply cohort analysis that interprets Bitcoin blockchain data using methods developed for population data in the social sciences. Specifically, we query and process the Bitcoin transaction input and output data within each daily cohort. This enables us to create datasets and visualizations for some key Bitcoin transaction indicators, including the daily lifespan distributions of spent transaction output (STXO) and the daily age distributions of the cumulative unspent transaction output (UTXO). We provide a computationally feasible approach for characterizing Bitcoin transactions that paves the way for future economic studies of Bitcoin.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
