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

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.