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Updated: Sep 2, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust.

Chunhua Ju1, Chenyu Wang1, Yihao Jiang1

  • 1School of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou, China.

International Journal of Public Health
|August 4, 2022
PubMed
Summary
This summary is machine-generated.

Understanding opinion spread requires focusing on high-trust individuals and clarifying misinformation. Network structure and node trust significantly influence how information, like rumors, propagates online.

Keywords:
coupled networkopinion interactionoysterrumor spreadingvariation

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Area of Science:

  • Network Science
  • Computational Social Science
  • Information Dissemination

Background:

  • Understanding micro-level opinion dynamics is crucial for analyzing public opinion spread.
  • Network structure significantly influences information dissemination patterns.

Purpose of the Study:

  • To explore opinion dissemination and evolution using network structure analysis.
  • To investigate the impact of 'variation' and 'oyster' concepts on communication.

Main Methods:

  • Introduction of 'variation' and 'oyster' concepts.
  • Development of a multi-layer coupled network with the ISOVR model.
  • Simulation of network information dissemination using a bounded trust model.

Main Results:

  • Information spread (variation) is highly dependent on node trust levels.
  • Decreased node trust significantly reduces the rate and peak of information spread.
  • Rumor propagation remains strong even after mutation, unaffected by silence coefficient changes.

Conclusions:

  • Prioritize communication through high-trust individuals (opinion leaders).
  • Timely clarification of misinformation is essential to curb rumor propagation.