Mobile　opportunistic　networks　can　realize　self-organizing　communications　for　complicated　and　dynamic　scenarios,　which　makes　them　expected　to　support　various　applications.　In　this　paper,　we　investigate　how　far　the　data　can　reach　within　time　t　(i.e.,　the　dissemination　distance),　which　reveals　the　tempo-spatial　data　dissemination　properties　of　mobile　opportunistic　networks.　Our　investigations　adopt　the　Brownian　motion　model　and　the　L,vy　mobility　to　characterize　the　movement　patterns　of　nodes　in　the　network.　We　select　the　Brownian　motion　model　because　it　can　be　viewed　as　a　limiting　case　of　the　random　walk　mobility　model　and　the　Markovian　mobility　model,　and　thus,　our　analytical　results　can　be　easily　extended　to　these　mobility　models;　We　select　the　L,vy　mobility　since　the　movements　of　nodes　are　usually　driven　by　human　beings　carrying　the　devices,　and　the　L,vy　mobility　can　closely　mimic　the　walks　of　human　beings,　which　makes　our　analysis　more　practical.　In　detail,　we　obtain　the　bounds　of　the　distribution　of　the　dissemination　distance　for　the　one-copy　case　and　the　multiple-copy　case　when　nodes　move　with　the　Brownian　motion　and　the　L,vy　mobility,　respectively,　which　provide　the　potential　of　mobile　opportunistic　networks　to　support　the　services　that　may　involve　time　and　location　sensitive　data　dissemination.