Related Experiment Video
Updated: May 5, 2026
06:18
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
Published on: October 20, 2022
2.3K
Modeling and Dynamic Analysis of Trust Decay in Social Media Based on Triadic Closure Structure
Yao Qu1, Changjing Wang1,2, Qi Tian3
1Research Center for Management Science and Engineering, Jiangxi Normal University, Nanchang 330022, China.
Entropy (Basel, Switzerland)
|May 4, 2026
Summary
This study introduces network structure analysis to combat trust decay in social media. The forest fire model demonstrates superior trust resilience, offering a computable tool for predicting trust evolution.
Area of Science:
- Social Network Analysis
- Computational Social Science
- Information Science
Background:
- Trust decay in social media negatively impacts user experience and platform stability.
- Understanding the structural underpinnings of trust is crucial for developing effective mitigation strategies.
Purpose of the Study:
- To investigate the role of triadic closure in social network infrastructure for preventing trust decay.
- To develop quantitative metrics for assessing trust decay risk and resilience.
- To establish a relationship between social network structure evolution and trust decay risk.
Main Methods:
- Comparative analysis of network models: ER random graph, BA scale-free network, forest fire model, and complete graph.
- Introduction of novel metrics: trust decay risk index and trust resilience index.
- Integration of structural indices: clustering coefficient, average path length, and triangular closure number and its growth rate.
Main Results:
- The forest fire model exhibits optimal trust resilience due to its power-law growth characteristics, including high clustering, short path length, and triangular closure.
- The dynamics of trust decay vary significantly across different network growth modes.
- The theoretical framework was validated using Sina Weibo social network data.
Conclusions:
- The proposed analysis framework, integrating triangle closure with risk and resilience indicators, provides a computable tool for understanding and predicting trust evolution in social media.
- Network structure plays a critical role in the dynamics of trust decay and resilience.
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