论文标题

比特币交易网络的快照抽样和加密货币增长的分析

Snapshot Samplings of the Bitcoin Transaction Network and Analysis of Cryptocurrency Growth

论文作者

Leong, Lambert T.

论文摘要

这项工作的目的是对快速增长的比特币交易网络进行网络分析。使用Web插座API,我们收集了有关在六个小时窗口中发生的所有交易的数据。发件人和接收器地址以及交换比特币的数量是记录的。使用R和GEPHI生成图,其中节点代表地址和边缘代表比特币的交换。将六个小时的数据集划分为网络的一个和两个小时的抽样快照。我们对数据的所有子集进行了比较和分析,以确定代表整个网络的最小采样长度。我们的结果表明,六个小时的采样是准确表征比特币交易网络所需的采样时间的最低限制。匿名性是区块链和比特币网络的所需特征,但是,它在我们的分析和结论中限制了我们从结果中得出的结论。需要未来的工作并进行收集更多全面的数据,以便可以更好地分析比特币交易网络。

The purpose of this work was to perform a network analysis on the rapidly growing bitcoin transaction network. Using a web-socket API, we collected data on all transactions occurring during a six hour window. Sender and receiver addresses as well as the amount of bitcoin exchanged were record. Graphs were generated, using R and Gephi, in which nodes represent addresses and edges represent the exchange of bitcoin. The six hour data set was subsetted into a one and two hour sampling snapshot of the network. We performed comparisons and analysis on all subsets of the data in an effort to determine the minimum sampling length that represented the network as a whole. Our results suggest that the six hour sampling was the minimum limit with respect to sampling time needed to accurately characterize the bitcoin transaction network.Anonymity is a desired feature of the blockchain and bitcoin network however, it limited us in our analysis and conclusions we drew from our results were mostly inferred. Future work is needed and being done to gather more comprehensive data so that the bitcoin transaction network can be better analyzed.

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