Replication Data for: \"Deciphering Bitcoin Blockchain Data by Cohort Analysis\"

Bitcoin is a peer-to-peer electronic payment system that popularized rapidly in recent years. Usually, we need to query the complete history of bitcoin blockchain data to acquire variables of economic meaning. This becomes increasingly difficult now with 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 social science. Specifically, we query and process the Bitcoin transaction input and output data within each daily cohort. With this, we then create datasets and visualizations for some key indicators of bitcoin transactions, including the daily lifespan distributions of accumulated spent transaction output (STXO) and the daily age distributions of accumulated unspent transaction output (UTXO). We provide a computationally feasible approach to characterize bitcoin transactions, which paves the way for future studies of economic behaviors in the emerging market of Bitcoin.

比特币是近年来迅速普及的点对点电子支付系统。通常而言，研究者需查询比特币区块链数据的完整历史以获取具备经济意义的变量，但当前比特币区块链上的历史交易已超16亿笔，此类查询的难度正与日俱增。因此，开发更高效的比特币交易数据查询方式并挖掘其经济内涵具备重要价值。我们采用队列分析（cohort analysis）方法——该方法最初依托社会科学领域的人口数据分析手段开发，用于解读比特币区块链数据；具体而言，我们针对每个每日队列中的比特币交易输入与输出数据开展查询与处理工作。基于上述操作，我们构建了数据集并生成可视化成果，用于展示比特币交易的多项关键指标，包括累计已花费交易输出（accumulated spent transaction output, STXO）的每日存活时长分布，以及累计未花费交易输出（accumulated unspent transaction output, UTXO）的每日存续年龄分布。我们提出了一种具备计算可行性的比特币交易特征化方法，为后续研究比特币新兴市场中的经济行为铺平了道路。