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Updated: Sep 10, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
Published on: October 20, 2022
The collaborative evolution of trust, information flow, and social cooperation: a study on network stability based on
Liu Weiqi1, Yan Jun1, Xiao Jieyu2
1School of Public Finance & Economics, Shanxi University of Financial and Economics, Taiyuan, 030012, China.
This study reveals that individuals in social networks tend towards cooperation and information sharing. Even passive participants play a crucial role in disseminating social network information.
Area of Science:
- Social Network Analysis
- Behavioral Economics
- Sociology
Background:
- Human society is structured around individual actors making rational decisions.
- Understanding social interactions and information flow is key to comprehending societal organization.
Purpose of the Study:
- To introduce a novel social relations network information system.
- To analyze behavioral patterns and information dissemination within social networks.
Main Methods:
- Development of a social relations network information system.
- Observation of behavior nodes and their environments.
- Scoring of observed behaviors within the network.
Main Results:
- Nodes demonstrate a propensity for pro-social cooperative behavior during network formation.
- Behavioral patterns vary across different stages of network formation.
- Non-participating nodes contribute significantly to social network information transmission.
Conclusions:
- Social network formation inherently encourages cooperative behavior.
- Dynamic behavioral shifts occur during network evolution.
- Every individual acts as a node for information dissemination, highlighting the interconnectedness of social systems.
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