Abstract
Collaboration on knowledge is an essential channel for fostering the production and integration of knowledge. Knowledge collaboration user interactions can evolve into a network for knowledge collaboration. The "resources" variable has a significant effect on knowledge diffusion in the actual world. This paper examines the impact of resource production and consumption processes on the knowledge diffusion. We construct the knowledge diffusion model and determine the threshold for knowledge diffusion's propagation. We analyze the existing collaboration network dataset, Erdos Collaboration Network (ERDOS), and demonstrate that it exhibits clustering and small-world behavior. Using ERDOS data, we investigate the effect of resource generation and consumption processes on knowledge diffusion, as well as the role of self-learning and review mechanisms in this process. In addition, we find that the steady-state density of informed users is insensitive to both the benchmark knowledge diffusion rate and the maximum resource-mediated knowledge diffusion rate. In the actual world, managers can set the cost at the threshold, creating a win-win situation between the degree of knowledge diffusion and the benefits.
Publisher
Trans Tech Publications Ltd