This study compares the structural characteristics of shopping item networks between domestic and international tourists who have visited Daegu metropolitan city in South Korea. The data of 2018 Deagu Tourism Survey was applied for data analysis. A number of social network analysis techniques, including the normalized eigenvector centrality, were carried out. Along with social network analysis techniques, this study also conducted the bootstrap paired sample t-test with permutation to identify significant differences in two different networks. Results of the analyses demonstrate a significant difference in a network characteristic (i.e., density) between shopping item networks of domestic and international tourists. Normalized eigenvector centralities reveal differences in ranks of shopping items between domestic and international tourists. Implications of this study focused on boosting shopping tourism in Deagu were provided.