论文标题
以太坊上具有不同标签的交易自我网络的时间分析
Temporal Analysis of Transaction Ego Networks with Different Labels on Ethereum
论文作者
论文摘要
由于广泛使用智能合约，以太坊已成为仅次于比特币的第二大区块链平台。许多不同类型的以太坊帐户（ICO，采矿，赌博等）在以太坊上也有非常积极的交易活动。研究这些特定以太坊帐户的交易记录对于理解其特定交易特征并进一步标记化名帐户非常重要。但是，传统方法通常基于静态和全球交易网络，以进行研究，忽略有关动态变化的有用信息。我们的工作选择了六种重要帐户标签，并为每种以太坊帐户建立自我网络。我们关注目标节点与邻居节点之间的相互作用，并通过时间分析。实验表明，各种类型的帐户在几个网络特征方面存在显着差异，从而帮助我们更好地了解其交易模式。据我们所知，这是第一项从交易自我网络的角度分析以太坊的动态特征的第一项工作。
Due to the widespread use of smart contracts, Ethereum has become the second-largest blockchain platform after Bitcoin. Many different types of Ethereum accounts (ICO, Mining, Gambling, etc.) also have quite active trading activities on Ethereum. Studying the transaction records of these specific Ethereum accounts is very important for understanding their particular transaction characteristics, and further labeling the pseudonymous accounts. However, traditional methods are generally based on static and global transaction networks to conduct research, ignoring useful information about dynamic changes. Our work chooses six kinds of important account labels, and builds ego networks for each kind of Ethereum account. We focus on the interaction between the target node and neighbor nodes with temporal analysis. Experiments show that there is a significant difference between various types of accounts in terms of several network features, helping us better understand their transaction patterns. To the best of our knowledge, this is the first work to analyze the dynamic characteristics of Ethereum labeled accounts from the perspective of transaction ego networks.
