Anonymous　social　network　has　attracted　ever-increasing　attention　from　research　community　in　recent　years,　however,　it　also　brings　some　complications　to　ours　daily　life.　We　want　to　provide　a　reference　for　further　regulation　by　addressing　the　problems　in　anonymous　social　network　ecology.　In　this　paper　we　focus　our　attention　on　summarizing　the　ecological　status　of　anonymous　social　networks　in　a　complete　data-driven　way.　Specifically,　we　analyze　text　emotional　tendencies,　text　themes　and　user　characteristics　of　the　anonymous　networks　by　comparing　and　analyzing　the　data　from　anonymous　social　network　application　Secret　and　social　network　application　Sina　Weibo.　And　we　find　that　the　ecological　status　of　the　two　applications　are　much　different　in　some　cases.　©　2017　IEEE.