地理定位闪电网络拓快照:涵盖2019-2023年的数据集
Danila Valko1,2, Jorge Marx Gómez3
1Carl von Ossietzky Universität Oldenburg, Department für Informatik, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany. danila.valko@offis.de.
Scientific data
|December 10, 2025
概括
研究人员创建了一个有价值的数据集的闪电网络 (LN),比特币的第二层解决方案,从2019-2023. 这些数据使得对LN的可重复性研究成为可能.
科学领域:
- 计算机科学 计算机科学
- 加密货币研究 加密货币研究
- 网络分析 网络分析
背景情况:
- 闪电网络 (LN) 是比特币的关键第二层解决方案,促进高效的交易.
- 对结构化和验证的LN网络数据的有限访问阻碍了研究进展.
- 现有的研究缺乏可复制的数据集用于经验分析.
研究的目的:
- 为了呈现一个全面的,精心策划的数据集的闪电网络拓和演变.
- 解决在可访问和验证的LN网络数据中的关键研究缺口.
- 为可重现的关于LN动态的经验研究提供基础.
主要方法:
- 从2019年1月到2023年7月使用公共八消息档案重建LN网络快照.
- 应用严格的数据一致性检查用于验证.
- 丰富节点元数据的城市级地理位置,来自公共IP地址.
主要成果:
- 一个精心策划的LN网络快照数据集,涵盖了重要的历史时期 (2019-2023年).
- 验证和地理定位节点数据,提供对空间分布的见解.
- 一个可重复的数据资源,解决了LN研究中的一个关键障碍.
结论:
- 这一数据集显著提高了研究人员对结构化LN数据的可访问性.
- 该资源促进了关于闪电网络时间和空间演变的经验研究.
- 该数据集支持计算机科学,加密货币和经济学的跨学科研究.
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