Quantitative analysis of cryptocurrencies transaction graph
This provides a comprehensive statistical analysis for cryptocurrency researchers and users, though it is incremental as it extends existing methods to new data.
The study compared transaction graphs of Bitcoin, Ethereum, Litecoin, Dash, and Z-Cash, finding that graph growth and density correlate with currency prices, and the graphs are non-assortative with power-law degree distributions.
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, and the degree sequence of their transaction graph follows the power law distribution.