ID |
914
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Authors |
CHEN Yanyu, TANG Min, XIE Renqiang
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Title |
Information Diffusion in Blockchain-Based Social Networks Using Evolutionary Game Theory
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Title (translation) |
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Subtitle |
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Subtitle (translation) |
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Keywords |
blockchain; social network; information diffusion; evolutionary game; Steemit
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Keywords (translation) |
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Issue |
2025/4
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DOI |
https://doi.org/10.22503/inftars.XXIV.2024.4.3
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Abstract |
Blockchain-based social networks differ from traditional ones with respect to in-formation diffusion. This study develops an evolutionary game model to investi-gate how blockchain features affect users’ information diffusion behaviours, withthe aim of boosting efficiency in social networks. The model provides a detailedanalysis of the dynamic evolution of user behaviours across various scenarios. Us-ing the Steemit platform as a case study and integrating theoretical and empiricalanalyses, the study validates the model’s applicability and visually illustrates thecharacteristics of information diffusion through cloud maps. The findings revealthat a blockchain’s core features, such as trust and incentive mechanisms, promptusers to adopt a more cautious approach when disseminating low-quality informa-tion—particularly distorted or malicious content—within social networks. Thesemechanisms ultimately contribute to an overall enhancement of content qualityacross social networks.
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Abstract (translation) |
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Language |
English
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Pages |
43-61
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Column |
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