Currently， there is heterogeneity in the functional brain images of suicidal patients with major depressive disorder （MDD） from multiple imaging sites， resulting in computational difficulties and affecting the reliability. According to the data from homogenizing multisite resting-state functional magnetic resonance imaging（rfMRI） from patients with MDD， the influence of suicidal tendencies on the MDD brain functional network is studied. Firstly， rfMRI of 99 MDD patients （including 67 non-suicidal MDD（nMDD）， 32 suicidal MDD（sMDD）） along with 72 healthy controls（HC） subjects from 3 sites are enrolled. After preprocessing of rfMRI， the functional connectivity of the Pearson correlation is calculated on the whole brain， and multisite functional connectivity is homogenized by ComBat technology. Then， the brain network topology is established and the graph theory analysis is performed by taking the existence of small-world attributes as the criterion for sparsity， the functional connectivity as edges and the brain areas as the nodes. Comparisons of the significance between groups are made on node degrees and node efficiency indicators in the graph theory. Experimental results show that the heterogeneity of functional connectivity in sites is effectively eliminated by the homogenization algorithm.Compared with the nMDD and HC groups，the sMDD group has siginificant between-group difference （p_FDF<0.05）in inferior cerebellar lobule and vermis cone. There exist abnormal functional activities in the inferior cerebellar lobules and vermis cones due to the suicidal tendencies. Based on the multisite homogenization of MDD network-level functional connectivity， this study effectively extracts the network characteristic indicators of suicidal patients and provides the functional imaging markers for the suicide risk assessment.