Knowledge Diffusion of User Innovation Community Based on BBV Weighted Network
Shuyang Jiang, Zhuang Yarning · 2019
As knowledge constitutes an important innovative force, it is significant to understand the performance of knowledge diffusion in user innovation community. In this paper, we use the model of knowledge diffusion based on BBV weighted network, which introduces the effects of different network structures, knowledge absorption capacity and the degree of interaction between community users and managers on knowledge diffusion. The results show that the BBV weighted network is easier to accelerate knowledge diffusion, and the community knowledge variance is smaller. Knowledge absorptive capacity of community users is conducive to knowledge growth, but knowledge variance increases accordingly. If the interaction between community users and managers is maintained at a moderate level, it will help to reduce the knowledge variance. In fact, if these factors are neglected, it is difficult to predict the process and results of knowledge diffusion correctly.