Forensics　analyses　of　an　email　network　were　more　based　on　the　email　communication　structure,　while　the　email　content　was　seldom　considered.　In　this　paper,　we　propose　a　forensics　analysis　method　for　an　email　network　based　on　the　Latent　Dirichlet　Allocation　topic　model　and　the　Centrality　algorithm.　The　method　takes　into　full　consideration　the　email　content　and　the　email　communication　structure.　In　order　to　calculate　the　email　communication　correlation　with　the　topic　of　the　criminal　case,　we　get　the　similarity　of　the　email　content　based　on　the　Latent　Dirichlet　Allocation　model.　Combined　with　the　Centrality　algorithm,　we　can　obtain　the　mail　accounts　that　have　the　greater　influence　on　the　email　network.　Experimental　results　show　that　this　method　can　more　effectively　analyze　an　email　network　and　find　the　specific　email　accounts.　©　2015　IEEE.