With　the　rapid　development　of　social　media,　social　factors　have　become　an　important　factor　to　affect　the　group　decision　making　process　and　its　result.　For　the　group　decision-making　problems　where　decision　information　is　given　by　incomplete　preference　relations,　this　paper　proposes　effective　solutions.　Firstly,　we　propose　a　repairing　method　based　on　the　similarity　degree　between　any　two　decision　makers　and　social　network　distances.　Then,　we　propose　the　social　network　influence　based　group　interactive　consensus　model.　The　model　not　only　considers　the　social　adjacency　relation　between　group　decision　makers,　but　also　can　save　the　original　judgment　information　given　by　decision　makers　on　a　large　extent.　Finally,　an　example　of　logistics　enterprises　choosing　storage　warehouse　is　given　to　illustrate　the　feasibility　and　advantages　of　the　proposed　approach.　Copyright　©2021　Control　and　Decision.