Relation between network structure and knowledge flow: A perspective of complex networks theory

Abstract

According to the characteristics of knowledge propagation in the collaborative networks of knowledge, a knowledge propagation model is proposed based on the complex network theory. In the proposed model, the Cobb-Dauglas production function is introduced to describe the increase of knowledge caused by knowledge flow, a kind of knowledge collaborative production. The knowledge now in the networks for WS model and BA model is then considered respectively under the condition of equivalent networks, with the results indicating that, the performance of knowledge now in the networks for WS model increases with the stochastic degree of the networks, and the performance of knowledge flow in the networks for BA model is better than in the equivalent networks for WS model and in the equivalent random networks.