[Objective]The exploration of spatial correlation network characteristics and influencing factors of urban land green use efficiency(ULGUE) in urban agglomerations was conducted to clarify intercity interaction relations, identify determinants for tailored policies, and synergistically improve the ULGUE of urban agglomerations.[Methods]The ULGUE of the three major urban agglomerations in Yellow River Basin from 2007 to 2022 was measured using the undesired output super-efficient SBM model. Then，the modified gravity model and social network analysis method were used to explore the structural characteristics of spatial correlation networks of ULGUE within each urban agglomeration and their underlying determinants.[Results]①During the study period, the three urban agglomerations' ULGUE followed the pattern: Guanzhong Plain Urban Agglomeration>Central Plains Urban Agglomeration>Shandong Peninsula Urban Agglomeration.②The spatial correlation networks of ULGUE in the three major urban agglomerations exhibited complex network structure patterns. Each agglomeration's network had a certain hierarchical structure, and the network stability tended to decrease. In each network, the siphon effect of core cities was significant, while the spillover effect on other cities was relatively limited.③Geospatial proximity and differences in economic development levels were common factors that influence the formation of spatial correlation networks of ULGUE in the three major urban agglomerations of the Yellow River Basin.[Conclusion]There remains significant room for improvement in the tightness of spatial correlations within the ULGUE networks of the three major urban agglomerations in the Yellow River Basin. In the future, each urban agglomeration should further emphasize the optimization of its own spatial correlation network structure, propose differentiated development paths, and promote the coordinated development of ULGUE across cities.