计算机科学 ›› 2022, Vol. 49 ›› Issue (6A): 502-507.doi: 10.11896/jsjkx.210600178
何茜1, 贺可太1, 王金山1, 林绅文2, 杨菁林2, 冯玉超1
HE Xi1, HE Ke-tai1, WANG Jin-shan1, LIN Shen-wen2, YANG Jing-lin2, FENG Yu-chao1
摘要： 比特币系统上线运行以来,人们通过比特币地址进行去中心化的转账交易,极大地增加了交易的便利性,同时点对点所产生的交易记录也成为了研究的重点。因比特币交易网络的规模巨大,直接研究整个网络需要耗费较多的时间和大量算力,也不利于观察实体内部的交易模式,因此可以按实体服务社区为对象构建和分析交易网络,并进一步探索实体行为和比特币实体服务社区内部的交易模式。通过改进传统的标签传播算法,提出了一种基于中心节点的标签传播算法,对比特币实体交易网络进行社群划分,并分析交易所、矿池等核心社群的交易模式,得到了易于理解和符合现实的交易模式。改进后的标签传播算法能够更快地收敛,且降低了社区划分结果的随机性,实验结果证明了不同服务内部交易模式的差异性,图形化的展示提升了人们对比特币交易网络的可读性。
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