论文标题
通过复杂的网络方法进行建模和理解以太坊交易记录
Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach
论文作者
论文摘要
作为支持智能合约的最大公共区块链平台，自2014年首次亮相以来，以太坊积累了大量的用户交易记录。但是，直到现在，对以太坊交易记录的分析仍然相对尚未探索。将事务记录建模为静态简单图，现有方法无法准确表征边缘的时间和多重特征。在此简介中，我们首先通过结合交易的时间和数量特征来对以太坊交易记录作为复杂网络进行建模，然后设计该大型网络的基于随机步行的图形表示的几种灵活的时间步行策略。对真实以太坊数据的时间链接预测的实验表明，边缘的时间信息和多样性特征是必不可少的，对于以太坊交易网络的准确建模和理解是必不可少的。
As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of Ethereum transaction records, however, is still relatively unexplored till now. Modeling the transaction records as a static simple graph, existing methods are unable to accurately characterize the temporal and multiplex features of the edges. In this brief, we first model the Ethereum transaction records as a complex network by incorporating time and amount features of the transactions, and then design several flexible temporal walk strategies for random-walk based graph representation of this large-scale network. Experiments of temporal link prediction on real Ethereum data demonstrate that temporal information and multiplicity characteristic of edges are indispensable for accurate modeling and understanding of Ethereum transaction networks.
