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2018 | 28 | 2 | 85-108
Article title

Opinion formation in social networks

Content
Title variants
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.
Year
Volume
28
Issue
2
Pages
85-108
Physical description
Contributors
  • 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, address: akuka.93@gmail.com
References
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Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-2f81ee90-301b-4c52-86f3-20ec55e10f8e
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