This　paper　focuses　on　partial　identification　problems　of　coupled　matrices　for　stochastic　hybrid　multi-layer　delayed　networks　with　inter-layer　and　intra-layer　couplings　and　Markovian　switching.　The　main　approach　is　to　combine　Lyapunov　method,　Kirchhoff＇s　matrix-tree　theorem　and　stochastic　analysis.　By　pinning　control　technique,　partial　identification　criterion　is　got.　As　a　special　case,　the　whole　identification　criterion　is　also　derived.　At　last,　three　numerical　examples　of　classical　L　&　uuml;　and　Lorenz　systems　are　provided　to　demonstrate　the　validity　of　the　presented　results.　Especially　the　impact　of　Markovian　switching　on　partial　topology　identification　is　discussed.　Note　to　Practitioners-This　paper　was　motivated　by　existing　results　on　synchronization　of　multi-layer　complex　network　with　stochastic　perturbation.　The　existing　results　mainly　focus　on　exponential　synchronization　or　asymptotic　synchronization　based　on　known　coupled　matrices　of　networks.　In　this　paper,　the　coupled　matrices　are　unknown,　the　drive-response　systems　can　achieve　the　partial　synchronization　with　probability　one　via　pinning　controller.　Furthermore,　combining　with　stochastic　version　of　the　LaSalle　theorem,　the　partial　identification　of　coupled　matrices　criterion　has　been　obtained.　It　should　be　noted　that　the　Markovian　switching　and　time　delay　in　this　work　play　an　important　role　in　the　identification.