Knowledge Commons of Institute of Automation,CAS
Evolutionary dynamics of cryptocurrency transaction networks: An empirical study | |
Jiaqi, Liang1,2; Linjing, Li1; Daniel, Zeng1,2,3 | |
发表期刊 | PLOS ONE |
2018-08-17 | |
卷号 | 13期号:8页码:1-18 |
文章类型 | Article |
摘要 | Cryptocurrency is a well-developed blockchain technology application that is currently a heated topic throughout the world. The public availability of transaction histories offers an opportunity to analyze and compare different cryptocurrencies. In this paper, we present a dynamic network analysis of three representative blockchain-based cryptocurrencies: Bitcoin, Ethereum, and Namecoin. By analyzing the accumulated network growth, we find that, unlike most other networks, these cryptocurrency networks do not always densify over time, and they are changing all the time with relatively low node and edge repetition ratios. Therefore, we then construct separate networks on a monthly basis, trace the changes of typical network characteristics (including degree distribution, degree assortativity, clustering coefficient, and the largest connected component) over time, and compare the three. We find that the degree distribution of these monthly transaction networks cannot be well fitted by the famous power-law distribution, at the same time, different currency still has different network properties, e.g., both Bitcoin and Ethereum networks are heavy-tailed with disassortative mixing, however, only the former can be treated as a small world. These network properties reflect the evolutionary characteristics and competitive power of these three cryptocurrencies and provide a foundation for future research. |
关键词 | cryptocurrency blockchain bitcoin transaction networks network analysis |
WOS标题词 | Science & Technology |
学科领域 | Science Technology, Social Sciences |
DOI | 10.1371/journal.pone.0202202 |
关键词[WOS] | COMPLEX NETWORKS |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Key Research and Development Program of China(2017YFC0820105 ; National Natural Science Foundation of China(71621002 ; Key Research Program of the Chinese Academy of Sciences(ZDRW-XH-2017-3) ; 2016QY02D0305) ; U1435221) |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:000442282700017 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/21866 |
专题 | 多模态人工智能系统全国重点实验室_互联网大数据与信息安全 |
通讯作者 | Jiaqi, Liang; Linjing, Li |
作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China 3.Department of Management of Information Systems, The University of Arizona, Tucson, AZ, United States of America |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Jiaqi, Liang,Linjing, Li,Daniel, Zeng. Evolutionary dynamics of cryptocurrency transaction networks: An empirical study[J]. PLOS ONE,2018,13(8):1-18. |
APA | Jiaqi, Liang,Linjing, Li,&Daniel, Zeng.(2018).Evolutionary dynamics of cryptocurrency transaction networks: An empirical study.PLOS ONE,13(8),1-18. |
MLA | Jiaqi, Liang,et al."Evolutionary dynamics of cryptocurrency transaction networks: An empirical study".PLOS ONE 13.8(2018):1-18. |
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