In　the　article,　a　stabilized　issue　for　complex-valued　hybrid　stochastic　multilinks　networks　(CHSMNs)　is　investigated　under　event-triggered　control　(E-TC).　In　contrast　to　existing　literature,　the　proposed　E-TC　defines　the　event-triggered　instant　sequence　as　the　random　sequence　rather　than　the　number　sequence,　which　is　more　accurate　concerning　hybrid　stochastic　systems.　Especially,　a　modified　more　general　event-triggered　function　is　proposed.　After　the　Zeno　behavior　is　eliminated　by　the　contradiction,　several　stabilized　conditions　are　established　to　guarantee　the　input-to-state　stability　and　exponential　stability　in　the　mean　square　and　almost　surely　exponential　stability　of　CHSMNs,　where　studying　in　the　complex　domain　and　no　splitting　real　and　imaginary　parts.　Subsequently,　we　analyze　the　lower　bound　of　the　event-triggered　intervals　for　E-TC　in　the　sense　of　mathematical　expectation.　Whereafter,　the　stabilized　problem　for　the　Cohen-Grossberg　neural　networks　(CSDLCNs)　and　the　islanded　micro　grid　model　(IMGM)　is　considered　as　an　application.　Meanwhile,　numerical　simulations　are　presented　for　verification.