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Information cocooning and polarization of opinions in a mobile population

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  • Jiang, Dong
  • Dai, Qionglin
  • Li, Haihong
  • Yang, Junzhong

Abstract

Information cocooning, referring to the phenomena that individuals become trapped in self-imposed cocoons by only encountering and accepting information that aligns with their own opinions, may hinder the normal dissemination of information. Numerous studies focused on how information cocoons emerge and how to avoid their disadvantages. In previous works, it is usually assumed that individuals are well-mixed in a population or located statically on certain regular or complex networks. Here, we explore the phenomena of information cocooning and opinion polarization among individuals who exhibit directional migration, favoring movement towards neighbors with similar opinions. In scenarios without migration, the social radius is a pivotal parameter that influences the development of various opinion dynamics, including neutral consensus, radicalization, and polarization. When directional migration is introduced, information cocooning can occur, leading to the fragmentation of the population into distinct opinion clusters that are spatially distant from one another. Within each cluster, radicalization of opinions is a common phenomenon. However, when considering the population as a whole, opinion dynamics may encompass polarization and consensus. We investigate the impact of the social radius and migration speed on the formation of information cocooning. We find that, the number of opinion clusters decreases with the increase of social radius. Moreover, a small social radius leads to more opinion clusters but milder opinions, whereas large ones result in less number of opinion clusters with more individuals holding radical opinions. This work can help us better understand the formation of information cocoons and opinion polarization in real life.

Suggested Citation

  • Jiang, Dong & Dai, Qionglin & Li, Haihong & Yang, Junzhong, 2025. "Information cocooning and polarization of opinions in a mobile population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 659(C).
    • Handle: RePEc:eee:phsmap:v:659:y:2025:i:c:s037843712400832x
    DOI: 10.1016/j.physa.2024.130322
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    References listed on IDEAS

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    1. Krzysztof Malarz & Piotr Gronek & Krzysztof Kulakowski, 2011. "Zaller-Deffuant Model of Mass Opinion," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(1), pages 1-2.
    2. Park, Junpyo, 2022. "Effect of external migration on biodiversity in evolutionary dynamics of coupled cyclic competitions," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    3. Xi Chen & Zhan Wu & Hongwei Wang & Wei Li, 2017. "Impact of Heterogeneity on Opinion Dynamics: Heterogeneous Interaction Model," Complexity, Hindawi, vol. 2017, pages 1-10, April.
    4. Zhang, Lan & Huang, Changwei & Li, Haihong & Dai, Qionglin & Yang, Junzhong, 2021. "Effects of directional migration for pursuit of profitable circumstances in evolutionary games," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    5. Hongyan Cheng & Qionglin Dai & Haihong Li & Xiaolan Qian & Mei Zhang & Junzhong Yang, 2013. "Effects of directional migration on prisoner’s dilemma game in a square domain," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(4), pages 1-6, April.
    6. Agnieszka Kowalska-Styczeń & Krzysztof Malarz, 2020. "Noise induced unanimity and disorder in opinion formation," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-22, July.
    7. Zhang, Lan & Pan, Jianchen & Huang, Changwei, 2023. "Effect of mixed random and directional migration on cooperation in the spatial prisoner’s dilemma," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    8. Ali Seyed Shirkhorshidi & Saeed Aghabozorgi & Teh Ying Wah, 2015. "A Comparison Study on Similarity and Dissimilarity Measures in Clustering Continuous Data," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-20, December.
    9. Philipp Lorenz-Spreen & Bjarke Mørch Mønsted & Philipp Hövel & Sune Lehmann, 2019. "Accelerating dynamics of collective attention," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
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    1. Yin, Longteng & Chen, Juan & Gao, Fujuan & Wu, Xiaoqun, 2025. "Coevolution of opinion and consumption behavior under a two-layer network framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 680(C).
    2. Li, Jiayuan & Xu, Haojie & Huang, Fuying & Han, Wenchen & Huang, Changwei, 2026. "Depolarization in the coevolutionary dynamics of opinion and cooperation," Applied Mathematics and Computation, Elsevier, vol. 520(C).

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