EVOLUTIONARY DYNAMICS IN OPINION FORMATION MODEL WITH COUPLING OF SOCIAL COMMUNITIES

Author:

XU WEN-JUAN1,ZHONG LI-XIN23,HUANG PING4,QIU TIAN5,SHI YONG-DONG6,ZHONG CHEN-YANG7

Affiliation:

1. School of Law, Zhejiang University of Finance and Economics, 18 Xueyuan Road, Hangzhou 310018, P. R. China

2. School of Finance and Coordinated Innovation, Center of Wealth Management and Quantitative Investment, Zhejiang University of Finance and Economics, 18 Xueyuan Road, Hangzhou 310018, P. R. China

3. School of Economics and Management, Tsinghua University, 43 Chengfu Road, Beijing 100084, P. R. China

4. School of Accounting, Zhejiang University of Finance and Economics, 18 Xueyuan Road, Hangzhou 310018, P. R. China

5. School of Information Engineering, Nanchang Hangkong University, 696 South Fenghe Road, Nanchang 330063, P. R. China

6. Research Center of Applied Finance, Dongbei University of Finance and Economics, 217 Jianshan Street, Dalian 116025, P. R. China

7. Yuanpei College, Peking University, 5 Yiheyuan Road, Beijing 100871, P. R. China

Abstract

By incorporating multi-community attachments into the continuous opinion formation model, we investigate the driving force for reaching consensus in networked systems. A phase transition from fragmentation to consensus is determined by the multiplex network structures and the coupling of different communities. A moderate number of layers and weak coupling are beneficial for consensus. The evolutionary dynamics in the present model is governed by the prolonged evolutionary time, which results from the disparities of individual opinions in different communities. Increasing the multiple layers is similar to promoting coupling between different communities. A functional relation between the convergence time and the coupling coefficient is found.

Publisher

World Scientific Pub Co Pte Lt

Subject

Control and Systems Engineering

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