Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Voter and majority dynamics with biased and stubborn agents

Tools
- Tools
+ Tools

Mukhopadhyay, Arpan, Mazumdar, Ravi R. and Roy, Rahul (2020) Voter and majority dynamics with biased and stubborn agents. Journal of Statistical Physics, 181 . pp. 1239-1265. doi:10.1007/s10955-020-02625-w ISSN 0022-4715.

[img]
Preview
PDF
WRAP-opinion-dynamics-biased-stubborn-agents-Mukhopadhyay-2020.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (908Kb) | Preview
[img] PDF
WRAP-opinion-dynamics-biased-stubborn-agents-Mukhopadhyay-2020.pdf - Accepted Version
Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer.

Download (1098Kb)
Official URL: https://doi.org/10.1007/s10955-020-02625-w

Request Changes to record.

Abstract

We study binary opinion dynamics in a fully connected network of interacting agents. The agents are assumed to interact according to one of the following rules: (1) Voter rule: An updating agent simply copies the opinion of another randomly sampled agent; (2) Majority rule: An updating agent samples multiple agents and adopts the majority opinion in the selected group. We focus on the scenario where the agents are biased towards one of the opinions called the preferred opinion. Using suitably constructed branching processes, we show that under both rules the mean time to reach consensus is Θ(logN), where N is the number of agents in the network. Furthermore, under the majority rule model, we show that consensus can be achieved on the preferred opinion with high probability even if it is initially the opinion of the minority. We also study the majority rule model when stubborn agents with fixed opinions are present. We find that the stationary distribution of opinions in the network in the large system limit using mean field techniques.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Random walks (Mathematics) , Intelligent agents (Computer software)
Journal or Publication Title: Journal of Statistical Physics
Publisher: Springer New York LLC
ISSN: 0022-4715
Official Date: November 2020
Dates:
DateEvent
November 2020Published
20 August 2020Available
10 August 2020Accepted
Volume: 181
Page Range: pp. 1239-1265
DOI: 10.1007/s10955-020-02625-w
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): This is a post-peer-review, pre-copyedit version of an article published in Journal of Statistical Physics. The final authenticated version is available online at: http://dx.doi.org/[insert DOI].
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 12 August 2020
Date of first compliant Open Access: 9 March 2021
Related URLs:
  • Publisher

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us