Taken　complex　adaptive　system　(CAS)　and　system　dynamic　(SD)　theory　into　the　core-structure　industrial　cluster　innovation　network,　this　investigation　focuses　on　innovative　mechanism　of　focal　firm　and　its　co-opetitors　as　agents.　RK-MAD　model　has　been　built　based　on　the　innovative　resource　and　knowledge　transforming　viewpoint.　And　it　uses　AnyLogic　simulation　with　network　structural　variables　and　agents＇　behavior　to　study　the　relationship　between　core-structure　industrial　cluster　innovation　network　structure　and　innovative　performance.　AnyLogic　simulation　indicates　the　negative,　positive　and　positive　relationship　between　the　changes　of　structural　variables　(mean　minimal　path　length,　aggregation　coefficient　and　degree　distribution)　and　innovative　performance.　The　results　show　that　the　communication　and　cooperation　of　focal　firm　and　its　co-opetitors　reflects　the　structural　changes　which　means　the　variegation　of　innovative　activities　leads　to　different　mechanism　shifting　and　influences　the　transforming　effect　of　innovative　resource　utilization　and　knowledge　dissemination.　At　the　same　time,　the　environment　of　innovation　also　changes　with　agents＇　activities.　For　surviving　and　developing,　agents　adapt　to　the　innovative　situation.　Generation,　extinction　and　other　activities　could　cause　the　structure　altering.　To　demonstrate　these　relationships　a　threshold　should　be　emphasized.