An evolution model of risk preference influenced by extremists in large group emergency consensus process

Author:

Cao Jing1,Xu Xuan-hua1,Dai Fei2,Pan Bin3

Affiliation:

1. School of Business, Central South University, Changsha, Hunan, China

2. Department of Civil and Environmental Engineering, West Virginia University, US

3. School of Accountancy, Hunan University of Finance and Economics, Changsha, Hunan, China

Abstract

This study uses opinion dynamics to explore the influence of extremists in the consensus process of large group decision-making. When moderates are exposed to extremists, their risk preference will be affected. By using the opinion leader theory for reference, the influence model of extremists is constructed. To better study the influence of extremists, the similarity of risk preference between extremists and moderates is modeled to measure their similarity degree. From this model, for every moderate, the extremists are divided into two groups: homogeneous group and heterogeneous group. Finally, the risk preference evolution model is structured by considering that moderates change their risk preference dynamically according to their initial preference, their attitude towards the homogeneous groups, and the heterogeneous groups. Finding from data analysis shows that moderates with high acceptance toward the influence of extremists are more likely to reach group consensus. It is also found that the preference trend of moderates with a certain degree of acceptance toward heterogeneous groups fluctuates with a ‘W’ shape. This study bridges the gap between opinion dynamics and group decision making. Meanwhile, the model inspires new explanations and new perspectives for the group consensus process.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference18 articles.

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3. Hegselmann R. and Krause U. , Opinion dynamics and bounded confidence models, analysis, and simulation[J], Journal of Artificial Societies and Social Simulation 5(3), 2002.

4. Statistical physics of social dynamics [J];Castellano;Reviews of Modern Physics,2009

5. Opinion dynamics under the influence of radical groups, charismatic leaders, and other constant signals: A simple unifying model[J];Hegselmann;NHM,2015

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