Opinion formation in social networks

• Authors: TAALAIBEKOVA Akylai
• Languages of publication: EN

Abstracts

EN

A number of selected works on the dynamics of opinions and beliefs in social networks has been discussed. Both Bayesian and non-Bayesian approaches to social learning have been considered, but the analysis has been focused on a simple, tractable and widely used model of updating beliefs – the DeGroot model. The author studied the dynamics of opinions based on the DeGroot model from dif-ferent points of view. First, its attractive features and shortcomings were discussed and then some of its extensions have been presented. These models are based on the DeGroot updating rule, but addition-ally incorporate the possibility of improvements and enrichments of the framework.

Keywords

EN

social network; opinion formation; consensus; DeGroot model

• Publisher: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
• Journal: Operations Research and Decisions
• Year: 2018
• Volume: 28
• Issue: 2
• Pages: 85-108

Contributors

author

TAALAIBEKOVA Akylai

• Université catholique de Louvain, CORE & Université Paris 1, Centre d’Economie de la Sorbonne CORE, Voie du Roman Pays 34, B-1348 Louvain-la-Neuve, Belgium

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Identifiers

DOI

10.5277/ord180206