The　input　output　table　is　comprehensive　and　detailed　in　describing　national　economic　systems　with　abundance　of　economic　relationships　depicting　information　of　supply　and　demand　among　industrial　sectors.　This　paper　focuses　on　how　to　quantify　the　degree　of　competition　on　the　global　value　chain　(GVC)　from　the　perspective　of　econophysics.　Global　Industrial　Strongest　Relevant　Network　models　are　established　by　extracting　the　strongest　and　most　immediate　industrial　relevance　in　the　global　economic　system　with　inter-country　input　output　(ICIO)　tables　and　then　have　them　transformed　into　Global　Industrial　Resource　Competition　Network　models　to　analyze　the　competitive　relationships　based　on　bibliographic　coupling　approach.　Three　indicators　well　suited　for　the　weighted　and　undirected　networks　with　self-loops　are　introduced　here,　including　unit　weight　for　competitive　power,　disparity　in　the　weight　for　competitive　amplitude　and　weighted　clustering　coefficient　for　competitive　intensity.　Finally,　these　models　and　indicators　were　further　applied　empirically　to　analyze　the　function　of　industrial　sectors　on　the　basis　of　the　latest　World　Input　Output　Database　(WIOD)　in　order　to　reveal　inter-sector　competitive　status　during　the　economic　globalization.