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The Deffuant model on Z with higher-dimensional opinion spaces

Hirscher, Timo LU orcid (2014) In Alea 11(1). p.409-444
Abstract

When it comes to the mathematical modelling of social interaction patterns, a number of different models have emerged and been studied over the last decade, in which individuals randomly interact on the basis of an underlying graph structure and share their opinions. A prominent example of the so-called bounded confidence models is the one introduced by Deffuant et al.: Two neighboring individuals will only interact if their opinions do not differ by more than a given threshold θ. We consider this model on the line graph Z and extend the results that have been achieved for the model with real-valued opinions by considering vector-valued opinions and general metrics measuring the distance between two opinion values. As in the univariate... (More)

When it comes to the mathematical modelling of social interaction patterns, a number of different models have emerged and been studied over the last decade, in which individuals randomly interact on the basis of an underlying graph structure and share their opinions. A prominent example of the so-called bounded confidence models is the one introduced by Deffuant et al.: Two neighboring individuals will only interact if their opinions do not differ by more than a given threshold θ. We consider this model on the line graph Z and extend the results that have been achieved for the model with real-valued opinions by considering vector-valued opinions and general metrics measuring the distance between two opinion values. As in the univariate case there turns out to exist a critical value θc for θ at which a phase transition in the long-term behavior takes place, but θc depends on the initial distribution in a more intricate way than in the univariate case.

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Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Consensus formation, Deffuant model, Vector-valued opinions
in
Alea
volume
11
issue
1
pages
36 pages
publisher
Instituto Nacional de Matematica Pura e Aplicada (I M P A)
external identifiers
  • scopus:85010918288
ISSN
1980-0436
language
English
LU publication?
no
id
451845ba-2453-40d0-aeaf-c93de29d3e37
alternative location
https://alea.impa.br/articles/v11/11-18.pdf
date added to LUP
2023-12-14 13:20:34
date last changed
2023-12-14 15:24:49
@article{451845ba-2453-40d0-aeaf-c93de29d3e37,
  abstract     = {{<p>When it comes to the mathematical modelling of social interaction patterns, a number of different models have emerged and been studied over the last decade, in which individuals randomly interact on the basis of an underlying graph structure and share their opinions. A prominent example of the so-called bounded confidence models is the one introduced by Deffuant et al.: Two neighboring individuals will only interact if their opinions do not differ by more than a given threshold θ. We consider this model on the line graph Z and extend the results that have been achieved for the model with real-valued opinions by considering vector-valued opinions and general metrics measuring the distance between two opinion values. As in the univariate case there turns out to exist a critical value θ<sub>c</sub> for θ at which a phase transition in the long-term behavior takes place, but θ<sub>c</sub> depends on the initial distribution in a more intricate way than in the univariate case.</p>}},
  author       = {{Hirscher, Timo}},
  issn         = {{1980-0436}},
  keywords     = {{Consensus formation; Deffuant model; Vector-valued opinions}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{409--444}},
  publisher    = {{Instituto Nacional de Matematica Pura e Aplicada (I M P A)}},
  series       = {{Alea}},
  title        = {{The Deffuant model on Z with higher-dimensional opinion spaces}},
  url          = {{https://alea.impa.br/articles/v11/11-18.pdf}},
  volume       = {{11}},
  year         = {{2014}},
}