Dynamics of coupled implicit and explicit opinions

被引:0
|
作者
Zhang, Qi [1 ]
Wang, Lin [1 ]
Wang, Xiaofan [1 ,2 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai, Peoples R China
[2] Shanghai Univ, Sch Mechatron Engn & Automat, Dept Automat, Shanghai 200072, Peoples R China
[3] Shanghai Inst Technol, Sch Elect & Elect Engn, Shanghai, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Opinion dynamics; Co-evolution model; Biased assimilation model; Nonlinear systems; Group discussion; POLARIZATION; CONSENSUS; MODEL;
D O I
10.1016/j.automatica.2024.111694
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a dual opinions co-evolution model based on the dual attitudes theory in social psychology, where every individual has dual opinions of an object: implicit and explicit opinions. The implicit opinions are individuals' inner evaluations affected by the experience, while the explicit opinions are external expressions of the evaluations and are influenced by public opinion. We theoretically analyze the dynamics of coupled dual opinions in an adversarial discussion scenario, in which two opposing groups participate in the discussion. We rigorously give a method to grade the degree of individual bias. When individuals have a slight bias, dual opinions reach a consensus, showing the phenomenon of acceptance. When individuals are moderately or even extremely biased, they will exhibit the phenomenon of outward compliance, that is, their publicly explicit opinions conform to public opinion, while implicit opinions will reach a persistent disagreement and even polarization. Our investigation indicates that dual opinions may not be monotone initially but eventually converge monotonically. Besides, we analyze the influence of parameters on the co-evolutionary process and results. Numerical simulations of the dual opinions formation process produce inward and outward conformity phenomena, namely acceptance and compliance. (c) 2024 Published by Elsevier Ltd.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] EXPLICIT - IMPLICIT ADDRESS
    HOLMES, D
    JOURNAL OF PRAGMATICS, 1984, 8 (03) : 311 - 320
  • [32] MAKING THE IMPLICIT EXPLICIT
    MORRIS, L
    TRAINING & DEVELOPMENT, 1994, 48 (04): : 68 - 72
  • [33] EXPLICIT AND IMPLICIT REMEMBERING
    Bradley, Margaret M.
    PSYCHOPHYSIOLOGY, 2009, 46 : S10 - S10
  • [34] Applications of Coupled Explicit-Implicit Solution of SWEs for Unsteady Flow in Yangtze River
    Ding, Yufei
    Liu, Yong
    Liu, Xingnian
    Chen, Ridong
    Shao, Songdong
    WATER, 2017, 9 (03):
  • [35] Explicit–Implicit Schemes for Calculating the Dynamics of Elastoviscoplastic Media with a Short Relaxation Time
    V. I. Golubev
    I. S. Nikitin
    N. G. Burago
    Yu. A. Golubeva
    Differential Equations, 2023, 59 : 822 - 832
  • [36] A new heterogeneous asynchronous explicit-implicit time integrator for nonsmooth dynamics
    Fekak, Fatima-Ezzahra
    Brun, Michael
    Gravouil, Anthony
    Depale, Bruno
    COMPUTATIONAL MECHANICS, 2017, 60 (01) : 1 - 21
  • [37] Combined implicit-explicit algorithms for non-linear structural dynamics
    Noels, Ludovic
    Stainier, Laurent
    Ponthot, Jean-Philippe
    Bonini, Jérôme
    Revue Europeenne des Elements, 2002, 11 (05): : 565 - 591
  • [38] IMPLEMENTATION AND ACCURACY OF MIXED-TIME IMPLICIT EXPLICIT METHODS FOR STRUCTURAL DYNAMICS
    LIU, WK
    BELYTSCHKO, T
    ZHANG, YF
    COMPUTERS & STRUCTURES, 1984, 19 (04) : 521 - 530
  • [39] Gaining insights into organizational communication dynamics through the analysis of implicit and explicit communication
    Mueller-Frommeyer, Lena C.
    Kauffeld, Simone
    GIO-GRUPPE-INTERAKTION-ORGANISATION-ZEITSCHRIFT FUER ANGEWANDTE ORGANISATIONSPSYCHOLOGIE, 2021, 52 (01): : 173 - 183
  • [40] Speed of Conformational Change: Comparing Explicit and Implicit Solvent Molecular Dynamics Simulations
    Anandakrishnan, Ramu
    Drozdetski, Aleksander
    Walker, Ross C.
    Onufriev, Alexey V.
    BIOPHYSICAL JOURNAL, 2015, 108 (05) : 1153 - 1164