Input-output　table　is　very　comprehensive　and　detailed　in　describing　the　national　economic　system　with　lots　of　economic　relationships,　which　contains　supply　and　demand　information　among　industrial　sectors.　The　complex　network,　a　theory　and　method　for　measuring　the　structure　of　complex　system,　can　describe　the　structural　characteristics　of　the　internal　structure　of　the　research　object　by　measuring　the　structural　indicators　of　the　social　and　economic　system,　revealing　the　complex　relationship　between　the　inner　hierarchy　and　the　external　economic　function.　This　paper　builds　up　GIVCN-WIOT　models　based　on　World　Input-Output　Database　in　order　to　depict　the　topological　structure　of　Global　Value　Chain　(GVC),　and　assumes　the　competitive　advantage　of　nations　is　equal　to　the　overall　performance　of　its　domestic　sectors＇　impact　on　the　GVC.　Under　the　perspective　of　econophysics,　Global　Industrial　Impact　Coefficient　(GIIC)　is　proposed　to　measure　the　national　competitiveness　in　gaining　information　superiority　and　intermediate　interests.　Analysis　of　GIVCN-WIOT　models　yields　several　insights　including　the　following:　(1)　sectors　with　higher　Random　Walk　Centrality　contribute　more　to　transmitting　value　streams　within　the　global　economic　system;　(2)　Half-Value　Ratio　can　be　used　to　measure　robustness　of　open-economy　macroeconomics　in　the　process　of　globalization;　(3)　the　positive　correlation　between　GIIC　and　GDP　indicates　that　one　country＇s　global　industrial　impact　could　reveal　its　international　competitive　advantage.　(C)　2016　Elsevier　B.V.　All　rights　reserved.