Said Anwar, Janjua Muhammad Umar, Hassan Saeed-Ul, Muzammal Zeeshan, Saleem Tania, Thaipisutikul Tipajin, Tuarob Suppawong, Nawaz Raheel
Department of Computer Science, Information Technology University, Lahore, Pakistan.
Department of Computing and Mathematics, The Manchester Metropolitan University, Manchester, United Kingdom.
PeerJ Comput Sci. 2021 Dec 10;7:e815. doi: 10.7717/peerj-cs.815. eCollection 2021.
Ethereum, the second-largest cryptocurrency after Bitcoin, has attracted wide attention in the last few years and accumulated significant transaction records. However, the underlying Ethereum network structure is still relatively unexplored. Also, very few attempts have been made to perform link predictability on the Ethereum transactions network. This paper presents a Detailed Analysis of the Ethereum Network on Transaction Behavior, Community Structure, and Link Prediction (DANET) framework to investigate various valuable aspects of the Ethereum network. Specifically, we explore the change in wealth distribution and accumulation on Ethereum Featured Transactional Network (EFTN) and further study its community structure. We further hunt for a suitable link predictability model on EFTN by employing state-of-the-art Variational Graph Auto-Encoders. The link prediction experimental results demonstrate the superiority of outstanding prediction accuracy on Ethereum networks. Moreover, the statistic usages of the Ethereum network are visualized and summarized through the experiments allowing us to formulate conjectures on the current use of this technology and future development.
以太坊是仅次于比特币的第二大加密货币，在过去几年中受到了广泛关注，并积累了大量交易记录。然而，以太坊底层网络结构仍相对未被探索。此外，对以太坊交易网络进行链路可预测性分析的尝试也非常少。本文提出了一个以太坊网络交易行为、社区结构和链路预测详细分析（DANET）框架，以研究以太坊网络的各个有价值的方面。具体而言，我们探索以太坊特色交易网络（EFTN）上财富分配和积累的变化，并进一步研究其社区结构。我们还通过采用最先进的变分图自动编码器，在EFTN上寻找合适的链路可预测性模型。链路预测实验结果证明了在以太坊网络上具有出色预测准确性的优越性。此外，通过实验对以太坊网络的统计使用情况进行了可视化和总结，使我们能够对该技术的当前使用情况和未来发展做出推测。
