Social　network　analysis　has　been　one　of　the　research　focuses　with　the　developing　of　social　media　services.　Social　influence　also　attracts　ever-increasing　attention　and　interests　from　both　the　sociology　and　the　data　mining　scholars,　but　the　research　of　influence　is　mainly　limited　in　the　user　level,　the　community　level　influence　is　rarely　involved.　In　this　paper,　we　develop　a　novel　model　to　analyze　and　evaluate　the　community　level　influence　and　help　the　decision　maker　to　comprehend　the　disparity　in　influence　of　different　communities.　This　paper　also　proposes　a　simple　heuristic　node-selection　strategy　considering　the　community　influence　to　spread　influence,　and　the　experiments　of　the　spread　of　influence　through　the　social　network　datasets　prove　the　rationality　of　the　proposed　community　influence　analysis　model.　©　2014　IEEE.