With　the　development　of　social　media,　the　social　relationships　among　group　decision　makers　should　be　taken　into　consideration　when　addressing　group　decision　making　problems.　As　an　extension　of　the　fuzzy　set,　the　Pythagorean　fuzzy　set　has　recently　been　applied　to　depict　the　uncertainty　in　practical　group　decision　problems.　The　purpose　of　this　paper　is　to　propose　a　multi-criteria　Pythagorean　fuzzy　group　decision　approach　considering　social　relations.　In　this　paper,　the　similarity　degree　and　the　paths　between　any　two　experts　in　a　social　network　are　combined　to　construct　a　connection　strength　matrix　to　detect　the　leader　among　all　the　experts.　A　leader-following　consensus　reaching　algorithm　is　proposed　to　adjust　the　multi-criteria　Pythagorean　fuzzy　decision　making　matrix.　Moreover,　a　procedure　for　the　multi-criteria　Pythagorean　fuzzy　group　decision　approach　based　on　social　network　analysis　is　proposed.　We　use　an　example　to　illustrate　the　feasibility　and　advantages　of　the　proposed　method.