Effects of Diverse Connecting Mechanisms on Knowledge Diffusion

摘要

In this paper, we first propose a computational model. Then on the basis of two virtual knowledge networks constructed, we investigate how diverse connecting mechanisms between network A and B differentially influence the co-evolution of the knowledge levels of both networks. The simulation results indicate that agents with high brokerage opportunities or high centrality enhance their knowledge levels more rapidly and knowledge diffusion through different knowledge networks seems to be affected significantly by the characteristics of the agents who build the knowledge connections across these networks.