Identifying　potentially　disruptive　technologies　is　challenging　but　important　for　innovators.　The　existing　research　based　on　the　tech　mining　approach　pays　much　attention　to　technological　change　but　less　attention　to　characterizing　its　disruptive　process　and　effects.　In　this　article,　we　suggest　a　novel　perspective　to　help　understand　and　identify　potentially　disruptive　technology　that　displaces　the　mainstream　technology　(termed　＂alternative　disruption＂)　by　modeling　it　as　a　process　in　which　alternative　technologies　compete　against　incumbent　technology.　Accordingly,　we　propose　a　systematic　framework　to　identify　this　type　of　technological　disruptors　by　quantitatively　characterizing　its　disruptive　process　and　effects.　To　illustrate　the　alternative　features,　uniquely,　the　framework　is　solutions　focused　that　answer　the　same　technological　problem　as　the　mainstream　one　in　which　subject-action-object　semantic　analysis　and　community　detection　algorithm　are　used　to　mine　and　cluster　the　found　solutions　into　groups　as　candidate　technologies,　including　mainstream　technologies　and　potentially　alternative　ones.　Incorporating　disruptive　characteristics　of　technological　advance,　technology　applicability,　and　market　niche,　the　alternative　one　with　a　highest　comprehensively　competitive　position　against　mainstream　technologies　remains　as　the　most　disruptive　potential.　Finally,　the　case　of　cancer　treatments　verifies　the　feasibility　and　effectiveness　of　this　framework.　Also,　this　proposed　framework　can　provide　quantitative　information　for　decision　making　in　promising　technologies　deployment　and　resource　allocation.