With　the　rapid　development　of　information　technology,　social　media　has　been　widely　used,　and　Internet　information　has　been　exploded,　and　consumers　may　experience　information　overload.　Recommender　systems　using　the　social　recommendation　method　that　integrates　social　relationship　information　can　provide　users　with　target　information　that　meets　their　needs.　However,　most　of　the　existing　methods　only　rely　on　the　user＇s　ordinary　friends　to　make　recommendations,　neglecting　another　influential　group,　the　opinion　leaders.　In　this　study,　we　propose　a　new　social　recommendation　method　based　on　opinion　leaders.　The　proposed　method　assumes　that　the　influence　of　the　opinion　leader　on　the　user　is　much　greater　than　that　of　the　user＇s　ordinary　friends.　The　experimental　results　on　two　real　datasets　show　that　the　proposed　method　not　only　has　a　better　recommendation　effect　than　the　state-of-the-art　recommendation　algorithms,　but　also　has　a　good　performance　in　the　cases　of　cold-start　users.