Relative opinion similarity leads to the emergence of large clusters in opinion formation models

被引:2
|
作者
Takesue, Hirofumi [1 ]
机构
[1] Tokyo Metropolitan Univ, Fac Law & Polit, 1-1 Minami Osawa, Hachioji, Tokyo, Japan
关键词
Opinion dynamics; Bounded confidence; Relative similarity; HETEROGENEOUS BOUNDS; SOCIAL-INFLUENCE; CONSENSUS MODEL; DYNAMICS; CONFIDENCE;
D O I
10.1016/j.physa.2023.128876
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This study considers a variant of the bounded confidence opinion formation model wherein the probability of opinion assimilation is dependent on the relative similarity of opinions. Agents are located on a social network and decide whether or not they adopt the opinion of one of the neighbors (called a role agent). Opinion assimilation is more (less) likely to occur when the distance from the opinion of the role agent is smaller (larger) than the average opinion distance from other neighbors. Thus, assimilation probability is reliant not only on opinion similarity with the role agent considered in conventional models but also on relative similarity that considers other neighbors. The simulation results demonstrate that the size of the largest opinion cluster increased when relative similarity has a large influence on assimilation probability. The size of the threshold parameter of the bounded confidence model displays inverse-U relationships with the largest cluster size. The findings imply that consideration of relative opinion similarity, which has been observed in recent empirical studies, prevents polarization into small opinion clusters.(c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Models of opinion formation: Influence of opinion leaders
    Boccara, Nino
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2008, 19 (01): : 93 - 109
  • [2] A relative approach to opinion formation
    Chan, Kit Ming Danny
    Duivenvoorden, Robert
    Flache, Andreas
    Mandjes, Michel
    [J]. JOURNAL OF MATHEMATICAL SOCIOLOGY, 2024, 48 (01): : 1 - 41
  • [3] Opinion attractiveness and its effect in opinion formation models
    Perez-Llanos, Mayte
    Pablo Pinasco, Juan
    Saintier, Nicolas
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 559
  • [4] Kinetic models of opinion formation
    Toscani, Giuseppe
    [J]. COMMUNICATIONS IN MATHEMATICAL SCIENCES, 2006, 4 (03) : 481 - 496
  • [5] Opinion Formation Models on a Gradient
    Gastner, Michael T.
    Markou, Nikolitsa
    Pruessner, Gunnar
    Draief, Moez
    [J]. PLOS ONE, 2014, 9 (12):
  • [6] On relationships between similarity of topics and opinion formation
    Hirakura, Naoki
    Aida, Masaki
    [J]. IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2024, 15 (02): : 226 - 236
  • [7] Fractional opinion formation models with leadership
    Almeida, Ricardo
    Malinowska, Agnieszka B.
    Odzijewicz, Tatiana
    [J]. 2018 23RD INTERNATIONAL CONFERENCE ON METHODS & MODELS IN AUTOMATION & ROBOTICS (MMAR), 2018, : 259 - 264
  • [8] A framework to analyze opinion formation models
    Devia, Carlos Andres
    Giordano, Giulia
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [9] A framework to analyze opinion formation models
    Carlos Andres Devia
    Giulia Giordano
    [J]. Scientific Reports, 12
  • [10] Opinion Formation in the Kinetic Exchange Models
    Chakraborti, Anirban
    Chakrabarti, Bikas K.
    [J]. ECONOPHYSICS OF ORDER-DRIVEN MARKETS, 2011, : 289 - +