Bitcoin Transaction Networks: An Overview of Recent Results

被引:29
作者
Vallarano, Nicolo [1 ]
Tessone, Claudio J. [2 ,3 ]
Squartini, Tiziano [1 ]
机构
[1] IMT Sch Adv Studies, NETWORKS Unit, Lucca, Italy
[2] Univ Zurich, UZH Blockchain Ctr, Zurich, Switzerland
[3] Univ Zurich, URPP Social Networks, Zurich, Switzerland
来源
FRONTIERS IN PHYSICS | 2020年 / 8卷 / 08期
关键词
blockchain; bitcoin; complex networks; centralization; inequality; null models;
D O I
10.3389/fphy.2020.00286
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Cryptocurrencies are distributed systems that allow exchanges of native (and non-) tokens between participants. The availability of the complete historical bookkeeping opens up an unprecedented possibility: that of understanding the evolution of a cryptocurrency's network structure while gaining useful insights into the relationships between users' behavior and cryptocurrency pricing in exchange markets. In this article we review some recent results concerning the structural properties of the Bitcoin Transaction Networks, a generic name referring to a set of three different constructs: the Bitcoin Address Network, the Bitcoin User Network, and the Bitcoin Lightning Network. The picture that emerges is of a system growing over time, which becomes increasingly sparse and whose mesoscopic structural organization is characterized by the presence of an increasingly significant core-periphery structure. Such a peculiar topology is accompanied by a highly uneven distribution of bitcoins, a result suggesting that Bitcoin is becoming an increasingly centralized system at different levels.
引用
收藏
页数:11
相关论文
共 43 条
[11]   Detecting core-periphery structures by surprise [J].
de Jeude, J. van Lidth ;
Caldarelli, G. ;
Squartini, T. .
EPL, 2019, 125 (06)
[12]  
Decker C., 2013, IEEE INT CONF PEER, P1, DOI DOI 10.1109/P2P.2013.6688704
[13]   Wikipedia and Cryptocurrencies: Interplay Between Collective Attention and Market Performance [J].
ElBahrawy, Abeer ;
Alessandretti, Laura ;
Baronchelli, Andrea .
FRONTIERS IN BLOCKCHAIN, 2019, 2
[14]   The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy [J].
Garcia, David ;
Tessone, Claudio J. ;
Mavrodiev, Pavlin ;
Perony, Nicolas .
JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2014, 11 (99)
[15]   Is Bitcoin a Decentralized Currency? [J].
Gervais, Arthur ;
Karame, Ghassan O. ;
Capkun, Vedran ;
Capkun, Srdjan .
IEEE SECURITY & PRIVACY, 2014, 12 (03) :54-60
[16]  
Glaser F, 2017, P HAW INT C SYST SCI
[17]   INVESTIGATING CAUSAL RELATIONS BY ECONOMETRIC MODELS AND CROSS-SPECTRAL METHODS [J].
GRANGER, CWJ .
ECONOMETRICA, 1969, 37 (03) :424-438
[18]  
Halaburda H., 2016, Beyond Bitcoin: The Economics of Digital Currencies
[19]  
Harrigan M, 2016, 2016 INT IEEE CONFERENCES ON UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING AND COMMUNICATIONS, CLOUD AND BIG DATA COMPUTING, INTERNET OF PEOPLE, AND SMART WORLD CONGRESS (UIC/ATC/SCALCOM/CBDCOM/IOP/SMARTWORLD), P368, DOI [10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.136, 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0071]
[20]  
Hencic A, 2014, ECONOMETRICS RISK