Consensus formation on heterogeneous networks

被引:4
作者
Fadda, Edoardo [1 ,2 ]
He, Junda [3 ]
Tessone, Claudio J. [4 ]
Barucca, Paolo [5 ]
机构
[1] Politecn Torino, Dept Math Sci, Corso Castelfidardo 39, I-10129 Turin, Italy
[2] ISIRES, Via Principe Amedeo 12, I-10123 Turin, Italy
[3] Singapore Management Univ, Sch Comp & Informat Syst, Informat Syst & Technol Cluster, 80 Stamford Rd, Singapore 178902, Singapore
[4] Univ Zurich, Informat Dept, Blockchain & Distributed Ledger Technol Grp, Andreasstr 15, CH-8050 Zurich, Switzerland
[5] UCL, Dept Comp Sci, Gower St, London WC1E 6EA, England
基金
瑞士国家科学基金会;
关键词
Network theory; Distributed systems; Consensus formation;
D O I
10.1140/epjds/s13688-022-00347-5
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Reaching consensus-a macroscopic state where the system constituents display the same microscopic state-is a necessity in multiple complex socio-technical and techno-economic systems: their correct functioning ultimately depends on it. In many distributed systems-of which blockchain-based applications are a paradigmatic example-the process of consensus formation is crucial not only for the emergence of a leading majority but for the very functioning of the system. We build a minimalistic network model of consensus formation on blockchain systems for quantifying how central nodes-with respect to their average distance to others-can leverage on their position to obtain competitive advantage in the consensus process. We show that in a wide range of network topologies, the probability of forming a majority can significantly increase depending on the centrality of nodes that initiate the spreading. Further, we study the role that network topology plays on the consensus process: we show that central nodes in scale-free networks can win consensus in the network even if they broadcast states significantly later than peripheral ones.
引用
收藏
页数:12
相关论文
共 25 条
  • [1] [Anonymous], 2016, Network Science
  • [2] The emergence of consensus: a primer
    Baronchelli, Andrea
    [J]. ROYAL SOCIETY OPEN SCIENCE, 2018, 5 (02):
  • [3] Distance distribution in random graphs and application to network exploration
    Blondel, Vincent D.
    Guillaume, Jean-Loup
    Hendrickx, Julien M.
    Jungers, Raphael M.
    [J]. PHYSICAL REVIEW E, 2007, 76 (06)
  • [4] Complex networks: Structure and dynamics
    Boccaletti, S.
    Latora, V.
    Moreno, Y.
    Chavez, M.
    Hwang, D. -U.
    [J]. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2006, 424 (4-5): : 175 - 308
  • [5] On Scaling Decentralized Blockchains (A Position Paper)
    Croman, Kyle
    Decker, Christian
    Eyal, Ittay
    Gencer, Adem Efe
    Juels, Ari
    Kosba, Ahmed
    Miller, Andrew
    Saxena, Prateek
    Shi, Elaine
    Sirer, Emin Gun
    Song, Dawn
    Wattenhofer, Roger
    [J]. FINANCIAL CRYPTOGRAPHY AND DATA SECURITY, FC 2016, 2016, 9604 : 106 - 125
  • [6] Information Propagation in the Bitcoin Network
    Decker, Christian
    Wattenhofert, Roger
    [J]. 13TH IEEE INTERNATIONAL CONFERENCE ON PEER-TO-PEER COMPUTING (P2P), 2013,
  • [7] Du MX, 2017, IEEE SYS MAN CYBERN, P2567, DOI 10.1109/SMC.2017.8123011
  • [8] Majority Is Not Enough: Bitcoin Mining Is Vulnerable
    Eyal, Ittay
    Sirer, Emin Guen
    [J]. FINANCIAL CRYPTOGRAPHY AND DATA SECURITY, FC 2014, 2014, 8437 : 436 - 454
  • [9] Using Network Emulation to study Blockchain Distributed Systems: The Ethereum Case
    Geier, Maximiliano
    Tessone, Claudio J.
    Vanotti, Marco
    Vilerino, Silvio
    Gonzalez Marquez, David
    Mocskos, Esteban
    [J]. 2019 27TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING (PDP), 2019, : 51 - 58
  • [10] Gervais A., 2016, On the security, performance and privacy of proof of work blockchains