Mobile　opportunistic　networks　make　use　of　node　mobility　to　provide　occasional　contact　opportunities　for　mobile　devices　to　deliver　data.　In　this　paper,　we　investigate　the　inherent　properties　of　data　disseminations　in　mobile　opportunistic　networks　by　answering　the　question　regarding　how　far　and　how　fast　a　packet　can　be　disseminated　in　mobile　opportunistic　networks.　This　problem　has　been　overlooked　by　recent　research,　but　it　is　very　important　because　it　reveals　the　potential　for　mobile　opportunistic　networks　to　support　emerging　applications　such　as　mobile　commerce　and　emergency　services　that　may　involve　time　and　location　sensitive　information　dissemination.　Our　investigations　are　taken　from　the　perspectives　of　small　and　large　scales.　From　the　perspective　of　small　scale,　the　probability　distributions　of　the　minimum　time　needed　by　the　data　to　spread　to　a　given　region,　namely,　T,　are　deduced　for　both　the　one-copy　case　and　the　multiple-copy　case.　From　the　perspective　of　large　scale,　by　using　the　large　deviation　theory,　the　probability　distributions　of　T　are　deduced　for　both　the　one-copy　case　and　the　multiple-copy　case　when　the　destination　region　is　far　enough　from　the　data　origin.