Abstract We constructed the knowledge matching model between the nodes of the technology innovation network, and used the Logo language of Netlogo to simulate the growth process of the core enterprise in innovation network. The results of the study showed that the degree of difference between knowledge nodes and network node core formation time was positively correlated; the matching degree of the formation of knowledge network nodes and network node degree of difference between the core of the average time of indicated an inverted U relationship; there was an inverse relationship between network nodes of knowledge influence forming differences and the core network node of the average time.
