Abstract: In this paper, 1756 domestic and 427 foreign literature co-authorship data in the field of webometrics have collected, the use of social network analysis methods to establish and study the domestic and foreign Co-authorship network, analysis of the overall characteristics of the two networks, through its network Density, average path, clustering coefficient and group analysis of connected groups in the network, revealed both domestic and foreign co-author status and model, and the study found that the foreign Co-authorship network is superior to the domestic, tacit knowledge is obvious, but the network is small.