Overview and empirical analysis of wealth decentralization in blockchain networks

被引:1
|
作者
Juodis, Mindaugas [1 ]
Filatovas, Ernestas [1 ]
Paulavicius, Remigijus [1 ]
机构
[1] Vilnius Univ, Inst Data Sci & Digital Technol, Akademijos Str 4, LT-08663 Vilnius, Lithuania
来源
ICT EXPRESS | 2024年 / 10卷 / 02期
关键词
Blockchain; Decentralization; Wealth distribution; Bitcoin; Ethereum; Arbitrum; Optimism; Polygon;
D O I
10.1016/j.icte.2024.02.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The decentralization paradigm has made blockchain one of the most disruptive technologies today. When evaluating the level of decentralization, the key metric for most public blockchain networks is the degree of decentralization of the resources responsible for determining who generates the blocks. In turn, it facilitates a greater understanding of both security and scalability on a blockchain. This work provides an overview of the current state-of-the-art on wealth decentralization, which has not yet received the attention it deserves. We collect data, calculate various wealth decentralization metrics, and compare our results with research on the same methodology. As the amount of data for various blockchains increases rapidly, it is helpful to have techniques to aggregate data for statistical analysis. We introduce and provide conservative estimates of decentralized group metrics based on the reduced data and compare them with full-data measurements. Our research considers both the Layer 1 blockchains of Bitcoin and Ethereum, along with Layer 2 blockchains such as Arbitrum, Optimism, and (c) 2024 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:380 / 386
页数:7
相关论文
共 50 条
  • [1] Blockchain solutions for trustworthy decentralization in social networks
    Mlika, Fatma
    Karoui, Wafa
    Ben Romdhane, Lotfi
    [J]. COMPUTER NETWORKS, 2024, 244
  • [2] Toward Quantifying Decentralization of Blockchain Networks With Relay Nodes
    Shahsavari, Yahya
    Zhang, Kaiwen
    Talhi, Chamseddine
    [J]. FRONTIERS IN BLOCKCHAIN, 2022, 5
  • [3] Blockchain Data Analysis from the Perspective of Complex Networks: Overview
    Song, Wanshui
    Zhang, Wenyin
    Wang, Jiuru
    Zhai, Linbo
    Jiang, Pengkun
    Huang, Shanyun
    Li, Bei
    [J]. TSINGHUA SCIENCE AND TECHNOLOGY, 2023, 28 (01) : 176 - 206
  • [4] Regional inequality and decentralization: an empirical analysis
    Lessmann, Christian
    [J]. ENVIRONMENT AND PLANNING A, 2012, 44 (06) : 1363 - 1388
  • [5] An Overview of Blockchain Security Analysis
    Wang, Hai
    Wang, Yong
    Cao, Zigang
    Li, Zhen
    Xiong, Gang
    [J]. CYBER SECURITY, CNCERT 2018, 2019, 970 : 55 - 72
  • [6] COSTS OF DECENTRALIZATION - A THEORETICAL AND EMPIRICAL-ANALYSIS
    HOLDEN, MG
    [J]. SOUTH AFRICAN JOURNAL OF ECONOMICS, 1990, 58 (02) : 212 - 222
  • [7] MACROECONOMIC INSTABILITY AND FISCAL DECENTRALIZATION: AN EMPIRICAL ANALYSIS
    Jalil, Ahmed Zafarullah Abdul
    Harun, Mukaramah
    Mat, Siti Hadijah Che
    [J]. PRAGUE ECONOMIC PAPERS, 2012, 21 (02): : 150 - 165
  • [8] Business models for the Blockchain: An empirical analysis
    Upadhyay, Nitin
    [J]. DIGITAL BUSINESS, 2024, 4 (02):
  • [9] MUNICIPAL DECENTRALIZATION - OVERVIEW
    SCHMANDT, HJ
    [J]. PUBLIC ADMINISTRATION REVIEW, 1972, 32 (OCT) : 571 - 588
  • [10] DECENTRALIZATION AT STATE AND LOCAL LEVEL - EMPIRICAL-ANALYSIS
    GIERTZ, JF
    [J]. NATIONAL TAX JOURNAL, 1976, 29 (02) : 201 - 209