论文标题
以太坊区块链上的ERC20交易：网络分析和预测
ERC20 Transactions over Ethereum Blockchain: Network Analysis and Predictions
论文作者
论文摘要
十年前，比特币诞生并引入了Ethereum ERC20协议之后，近年来，研究人员，私营部门公司和非政府组织正在引入越来越多的加密令牌。这种基于区块链的加密货币的无处不在，诞生了一种新的经济增长，这在使用常规的语义属性上对其动力进行建模造成了很大的困难。我们的工作介绍了使用网络理论棱镜的ERC20协议符合ERC20协议的交易数据的分析。我们通过分析网络的荟萃参数（其学位分布的能力）来检查基于ERC20的网络的动力学。我们的分析表明，随着时间的推移，该参数可以建模为抑制辅助的谐波振荡器，从而使网络参数预测提前一年。
Following the birth of Bitcoin and the introduction of the Ethereum ERC20 protocol a decade ago, recent years have witnessed a growing number of cryptographic tokens that are being introduced by researchers, private sector companies and NGOs. The ubiquitous of such Blockchain based cryptocurrencies give birth to a new kind of rising economy, which presents great difficulties to modeling its dynamics using conventional semantic properties. Our work presents the analysis of the dynamical properties of the ERC20 protocol compliant crypto-coins' trading data using a network theory prism. We examine the dynamics of ERC20 based networks over time by analyzing a meta-parameter of the network, the power of its degree distribution. Our analysis demonstrates that this parameter can be modeled as an under-damped harmonic oscillator over time, enabling a year forward of network parameters predictions.
