[Objective] The spatial correlation network characteristics and influencing factors of urban land green use efficiency(ULGUE) in urban agglomerations were investigated in order to clarify intercity interaction relationships, in order to provide a scientific basis for the coordinated improvement of ULGUE in urban agglomerations. [Methods] ULGUE of the three major urban agglomerations in the Yellow River basin from 2007 to 2022 was measured using an undesired-output super-efficient SBM model. Subsequently, a modified gravity model and social network analysis method were employed to explore the structural characteristics of spatial correlation networks of ULGUE within each urban agglomeration and their influencing factors. [Results] ① During the study period, the ULGUE of the three urban agglomerations followed this pattern: Guanzhong plain urban agglomeration>central plains urban agglomeration>Shandong peninsula urban agglomeration.② The spatial correlation networks of ULGUE in the three major urban agglomerations exhibited complex structural patterns. Each network showed a certain hierarchical structure, and its stability tended to decrease. In each network, the siphon effects of core cities were significant, but their spillover effects on other cities remained relatively limited.③ Geospatial proximity and differences in economic development levels were identified as common factors influencing the formation of spatial correlation networks of ULGUE in the three major urban agglomerations of the Yellow River basin. [Conclusion] There is significant potential for improving 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 focus more on optimizing its own spatial correlation network structure, propose differentiated development pathways, and promote the coordinated development of ULGUE across cities.