Cryptocurrencies as a new way of transferring assets and securing financial transactions have gained popularity in recent years. Transactions in cryptocurrencies are publicly available, hence, statistical studies on different aspects of these currencies are possible. However, previous statistical analysis on cryptocurrencies transactions have been very limited and mostly devoted to Bitcoin, with no comprehensive comparison between these currencies. In this study, we intend to compare the transaction graph of Bitcoin, Ethereum, Litecoin, Dash, and Z-Cash, with respect to the dynamics of their transaction graphs over time, and discuss their properties. In particular, we observed that the growth rate of the nodes and edges of the transaction graphs, and the density of these graphs, are closely related to the price of these currencies. We also found that the transaction graph of these currencies is non-assortative, i.e. addresses do not tend for transact with a particular type of addresses of higher or lower degree, and the degree sequence of their transaction graph follows the power law distribution.

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加密货币交易图的定量分析

近年来，作为一种新的资产转移和金融交易担保方式，加密货币已经流行起来。加密货币的交易是公开可用的，因此，可以对这些货币的不同方面进行统计研究。但是，以前对加密货币交易的统计分析非常有限，并且主要用于比特币，而这些货币之间没有全面的比较。在这项研究中，我们打算比较比特币，以太坊，Litecoin，Dash和Z-Cash的交易图，以了解其交易图随时间的动态变化，并讨论其属性。特别是，我们观察到交易图的节点和边缘的增长率以及这些图的密度与这些货币的价格密切相关。