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Abstract
In the context of the COVID-19 epidemic, it has become a new trend for people to use online learning communities for learning and communication. Previous studies had shown that trust was one of the important factors affecting knowledge sharing behavior in the online learning communities. However, related studies had not analyzed its mechanism from the micro level. Based on the knowledge sharing gain coefficient and multi-angle trust degree of the online learning communities, this paper constructed the corresponding public goods evolution game model and constructed the Holme–Kim theoretical network model according to the structural characteristics of the community user interaction network. The simulation experiment was carried out by using Matlab to analyze the influence of group trust value and individual trust value on group sharing behavior. From the micro level, this paper analyzed the evolution law of knowledge sharing behavior in the network under the influence of trust. The results showed that the degree of trust knowledge sharing played an important role in improving the behavior of group knowledge sharing. This study provided theoretical guidance for improving the level of knowledge sharing in the e-learning community and creating a good learning atmosphere.
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Research Article
International Journal of Changes in Education, Volume 1, Issue 1, 2024, 32-40
https://doi.org/10.47852/bonviewIJCE32021834
Publication date: 29 Feb 2024
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