Computer　crime　investigation　and　forensics　is　an　important　research　work　to　combat　criminal　activity　in　cyberspace.　But　the　complexity　of　computer　criminal　groups　makes　the　computer　crime　forensics　to　be　a　challenge.　Email　is　an　important　communication　mean　in　computer　crime　communication.　So　the　email　forensics　is　needed　to　organized　crime.　This　paper　proposed　an　email　forensics　method　based　on　graph　clustering　method　and　social　network　analysis　(SNA).　We　analyze　and　mine　emails　data　of　the　suspicious　users＇　accounts　using　the　new　method,　which　can　create　email　communication　network　graph　for　suspicious　computer　criminal　organizations.　The　algorithm　developed　can　analyze　computer　organization＇s　structure　and　core　members.　The　effectiveness　of　the　method　proposed　has　been　proved　by　our　experimental　data　and　results.　The　research　may　help　investigators　to　find　more　email　evidence　and　case　clues　and　improve　investigators＇　email　forensic　capability,　especially　to　the　investigation　for　organized　crime.　©　2014　IEEE.