A computational model based on Jackson's algorithm is proposed to form the knowledge networks,which possess five typical structural characteristics of complex social networks.Through simulation experiments,the knowledge evolution of different knowledge nodes with different characteristics is investigated.The fact is explored.How the diverse connecting mechanisms between networks A and B differentially influence the co-evolution of the knowledge levels of both networks.Moreover,the effects of the density and connecting weights of a less-developed network on knowledge flow between networks are analyzed.