The study of the network structure of self-service tourism flow is an important aspect of tourism research. Based on the tourism UGC data of Xuzhou City, a tourism node tourism flow network is constructed, and social network analysis is used to explore the structural characteristics of Xuzhou City’s self-service tourism flow network from the aspects of descriptive features, centrality, structural holes. The main conclusions are as follows: (1) Xuzhou City has a rich variety of node types, with tourism routes mainly taking 1-3 days for short distance travel, with an average node number of 4.21; (2) Xuzhou Museum, Baolian Temple, Yunlong Lake, Guishan Han Tomb, Yunlong Mountain Portal Destination Node; (3) The overall network density is low, and different nodes have different positions in the tourism network of Xuzhou City. Yunlong Lake, Huilongwo, Hubu Mountain, Baolian Temple, Xuzhou Museum, and Yunlong Mountain have obvious advantages in structural caves.