News　blog　hot　topics　are　important　for　the　information　recommendation　service　and　marketing.　However,　information　overload　and　personalized　management　make　the　information　arrangement　more　difficult.　Moreover,　what　influences　the　formation　and　development　of　blog　hot　topics　is　seldom　paid　attention　to.　In　order　to　correctly　detect　news　blog　hot　topics,　the　paper　first　analyzes　the　development　of　topics　in　a　new　perspective　based　on　W2T　(Wisdom　Web　of　Things)　methodology.　Namely,　the　characteristics　of　blog　users,　context　of　topic　propagation　and　information　granularity　are　unified　to　analyze　the　related　problems.　Some　factors　such　as　the　user　behavior　pattern,　network　opinion　and　opinion　leader　are　subsequently　identified　to　be　important　for　the　development　of　topics.　Then　the　topic　model　based　on　the　view　of　event　reports　is　constructed.　At　last,　hot　topics　are　identified　by　the　duration,　topic　novelty,　degree　of　topic　growth　and　degree　of　user　attention.　The　experimental　results　show　that　the　proposed　method　is　feasible　and　effective.　©　2012　Springer-Verlag.