Lead　users　are　the　group　of　most　valuable　users　in　product　innovation　and　new　product　development　for　a　certain　firm.　Based　on　web　mining　methods　on　user　innovation　communities,　this　paper　presents　quantitative　methodology　to　evaluate　the　contributions　and　values　of　online　community　users　to　identify　lead　users.　Firstly,　we　analyze　user　behaviors　and　calculate　the　user　interest　index　(UII)　of　posts,　keywords　and　innovation　fields　to　measure　the　popularity　of　innovations　based　on　other　users＇　focus.　Secondly,　the　model　of　User　Innovation　Knowledge　supernetwork　(UIKSN)　is　proposed,　in　which　UIIs　and　user　contributions　are　considered　as　two　types　of　node　weights　for　integrating　behavior　data　and　content　data.　And　then,　rules　and　methods　are　suggested　based　on　the　UIKSN　model　for　identifying　lead　users　to　meet　various　requirements　including　contributions　and　UIIs　in　posts,　keywords,　hot　frontiers,　core　innovation　fields,　and　even　in　certain　fields　or　knowledge　points.　Furthermore,　knowledge　structures　are　analyzed　through　ego-network　analysis.　Case　studies　show　that　the　proposed　UIKSN　model　and　methodology　are　more　objective　and　credible　and　thus　have　good　potentials　for　identifying　and　analyzing　lead　users　from　multiple　levels,　such　as　posts,　keywords,　hot　front,　core　innovation　fields,　etc.