Convergence analysis for asymmetric Deffuant-Weisbuch model

Jiangbo Zhang

Kybernetika (2014)

  • Volume: 50, Issue: 1, page 32-45
  • ISSN: 0023-5954

Abstract

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In this paper, we investigate the convergence behavior of the asymmetric Deffuant-Weisbuch (DW) models during the opinion evolution. Based on the convergence of the asymmetric DW model that generalizes the conventional DW model, we first propose a new concept, the separation time, to study the transient behavior during the DW model's opinion evolution. Then we provide an upper bound of the expected separation time with the help of stochastic analysis. Finally, we show relations of the separation time with model parameters by simulations.

How to cite

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Zhang, Jiangbo. "Convergence analysis for asymmetric Deffuant-Weisbuch model." Kybernetika 50.1 (2014): 32-45. <http://eudml.org/doc/261151>.

@article{Zhang2014,
abstract = {In this paper, we investigate the convergence behavior of the asymmetric Deffuant-Weisbuch (DW) models during the opinion evolution. Based on the convergence of the asymmetric DW model that generalizes the conventional DW model, we first propose a new concept, the separation time, to study the transient behavior during the DW model's opinion evolution. Then we provide an upper bound of the expected separation time with the help of stochastic analysis. Finally, we show relations of the separation time with model parameters by simulations.},
author = {Zhang, Jiangbo},
journal = {Kybernetika},
keywords = {opinion dynamics; asymmetric Deffuant–Weisbuch model; convergence; separation time; opinion dynamics; asymmetric Deffuant-Weisbuch model; convergence; separation time},
language = {eng},
number = {1},
pages = {32-45},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Convergence analysis for asymmetric Deffuant-Weisbuch model},
url = {http://eudml.org/doc/261151},
volume = {50},
year = {2014},
}

TY - JOUR
AU - Zhang, Jiangbo
TI - Convergence analysis for asymmetric Deffuant-Weisbuch model
JO - Kybernetika
PY - 2014
PB - Institute of Information Theory and Automation AS CR
VL - 50
IS - 1
SP - 32
EP - 45
AB - In this paper, we investigate the convergence behavior of the asymmetric Deffuant-Weisbuch (DW) models during the opinion evolution. Based on the convergence of the asymmetric DW model that generalizes the conventional DW model, we first propose a new concept, the separation time, to study the transient behavior during the DW model's opinion evolution. Then we provide an upper bound of the expected separation time with the help of stochastic analysis. Finally, we show relations of the separation time with model parameters by simulations.
LA - eng
KW - opinion dynamics; asymmetric Deffuant–Weisbuch model; convergence; separation time; opinion dynamics; asymmetric Deffuant-Weisbuch model; convergence; separation time
UR - http://eudml.org/doc/261151
ER -

References

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