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Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview
arXiv - CS - Social and Information Networks Pub Date : 2020-11-18 , DOI: arxiv-2011.09318
Jiajing Wu, Jieli Liu, Yijing Zhao, Zibin Zheng

As one of the most important and famous applications of blockchain technology, cryptocurrency has attracted extensive attention recently. Empowered by blockchain technology, all the transaction records of cryptocurrencies are irreversible and recorded in the blocks. These transaction records containing rich information and complete traces of financial activities are publicly accessible, thus providing researchers with unprecedented opportunities for data mining and knowledge discovery in this area. Networks are a general language for describing interacting systems in the real world, and a considerable part of existing work on cryptocurrency transactions is studied from a network perspective. This survey aims to analyze and summarize the existing literature on analyzing and understanding cryptocurrency transactions from a network perspective. Aiming to provide a systematic guideline for researchers and engineers, we present the background information of cryptocurrency transaction network analysis and review existing research in terms of three aspects, i.e., network modeling, network profiling, and network-based detection. For each aspect, we introduce the research issues, summarize the methods, and discuss the results and findings given in the literature. Furthermore, we present the main challenges and several future directions in this area.

中文翻译:

从网络角度分析加密货币交易:概述

加密货币作为区块链技术最重要、最著名的应用之一,近来受到广泛关注。在区块链技术的赋能下,加密货币的所有交易记录都是不可逆的,并记录在区块中。这些包含丰富信息和完整金融活动痕迹的交易记录可以公开访问,从而为研究人员在该领域进行数据挖掘和知识发现提供了前所未有的机会。网络是描述现实世界中交互系统的通用语言,现有的加密货币交易工作中有相当一部分是从网络的角度进行研究的。本次调查旨在分析和总结从网络角度分析和理解加密货币交易的现有文献。为了给研究人员和工程师提供系统的指导,我们介绍了加密货币交易网络分析的背景信息,并从网络建模、网络分析和基于网络的检测三个方面回顾了现有研究。对于每个方面,我们介绍了研究问题,总结了方法,并讨论了文献中给出的结果和发现。此外,我们提出了该领域的主要挑战和几个未来方向。总结方法,并讨论文献中给出的结果和发现。此外,我们提出了该领域的主要挑战和几个未来方向。总结方法,并讨论文献中给出的结果和发现。此外,我们提出了该领域的主要挑战和几个未来方向。
更新日期:2020-11-19
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