OPINION FORMATION IN SOCIAL NETWORKS

被引：0

作者：

Taalaibekova, Akylai ^{[1
,2
]}

机构：

[1] Catholic Univ Louvain, CORE, Voie Roman Pays 34, B-1348 Louvain La Neuve, Belgium

[2] Univ Paris 01, Ctr Econ Sorbonne CORE, Voie Roman Pays 34, B-1348 Louvain La Neuve, Belgium

来源：

OPERATIONS RESEARCH AND DECISIONS | 2018年 / 28卷 / 02期

关键词：

social network; opinion formation; consensus; DeGroot model;

D O I：

10.5277/ord180206

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

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 different 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 additionally incorporate the possibility of improvements and enrichments of the framework.

引用

页码：85 / 108

页数：24

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