Research on collaborative knowledge innovation mode mining based on user behavior in open source community

Jun Wang; Hongde Liu; Yani Wang; Xinyu Liang

doi:10.1117/12.2667729

28 March 2023 Research on collaborative knowledge innovation mode mining based on user behavior in open source community

Jun Wang, Hongde Liu, Yani Wang, Xinyu Liang

Author Affiliations +

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125662Y (2023) https://doi.org/10.1117/12.2667729
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Collaborative knowledge innovation activities are conducive to the rapid development of knowledge economy. However, because the collaborative knowledge innovation is usually hidden in the complex network information transmission process, the efficiency and quality of knowledge innovation behaviors may be greatly affected. We take collaborative innovation participants, collaborative innovation teams and collaborative innovation achievements as the constituent elements and construct the research framework of collaborative knowledge innovation mode mining. Then, we use Apriori algorithm to mine the collaborative knowledge innovation mode and obtain the transformation mode. The results show that when the main contributors to a project are high active users, the project has a greater probability of showing a trend of high innovation activity and is more likely to become a high-quality project. The findings will help to improve the collaborative knowledge innovation ability of online community platforms and the efficiency of knowledge diffusion.

Citation Download Citation

Jun Wang, Hongde Liu, Yani Wang, and Xinyu Liang "Research on collaborative knowledge innovation mode mining based on user behavior in open source community", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125662Y (28 March 2023); https://doi.org/10.1117/12.2667729

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