A Mathematical Foundation for Stochastic Opinion Dynamics

被引：0
|
作者：
Castro, Luis E. [1 ]
Shaikh, Nazrul I. [1 ]
机构：
[1] Univ Miami, Dept Ind Engn, Coral Gables, FL 33124 USA
来源：
INTERNATIONAL JOURNAL OF BUSINESS ANALYTICS | 2019年 / 6卷 / 01期
关键词：
Consensus; Opinion Dynamics; Opinion Formation; Opinion Update; Stochastic Difference Equations; PUBLIC-OPINION; CONSENSUS PROBLEMS; LIMIT-THEOREM; AGGREGATION; CONFIDENCE; PSYCHOLOGY; MODEL;
D O I：
10.4018/IJBAN.2019010102
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This article presents a stochastic opinion dynamics model where (a) the opinion of each agent in a network is modeled as a probability distribution as against a point object, (b) consensus is defined as the stability region of the ensuing set of stochastic difference equations, and (c) compromise solutions can be derived between agents who don't have a consensus. The model is well suited for tracking opinion dynamics over large online systems such as Twitter and Yelp where opinions need to be extracted from the user-generated text data. Theoretical conditions for the existence of consensus and the impact that stubborn agents have on opinion dynamics are also presented.
引用
收藏
页码：20 / 42
页数：23
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