UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Consensus formation on heterogeneous networks

Fadda, Edoardo; He, Junda; Tessone, Claudio J; Barucca, Paolo; (2022) Consensus formation on heterogeneous networks. EPJ Data Science , 11 (1) , Article 34. 10.1140/epjds/s13688-022-00347-5. Green open access

[thumbnail of s13688-022-00347-5.pdf]
Preview
Text
s13688-022-00347-5.pdf - Published Version

Download (1MB) | Preview

Abstract

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.

Type: Article
Title: Consensus formation on heterogeneous networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1140/epjds/s13688-022-00347-5
Publisher version: https://doi.org/10.1140/epjds/s13688-022-00347-5
Language: English
Additional information: © 2022 BioMed Central Ltd. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Network theory, Distributed systems, Consensus formation
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10150701
Downloads since deposit
Loading...
21Downloads
Download activity - last month
Loading...
Download activity - last 12 months
Loading...
Downloads by country - last 12 months
Loading...

Archive Staff Only

View Item View Item