Input-output　table　is　a　comprehensive　and　detailed　in　describing　the　national　economic　systems,　consisting　of　supply　and　demand　information　among　various　industrial　sectors.　The　complex　network,　a　theory　and　method　for　measuring　the　structure　of　complex　system,　can　depict　the　structural　properties　of　social　and　economic　systems,　and　reveal　the　complicated　relationships　between　the　inner　hierarchies　and　the　external　macroeconomic　functions.　This　paper　tried　to　measure　the　globalization　degree　of　industrial　sectors　on　the　global　value　chain.　Firstly,　it　constructed　inter-country　input-output　network　models　to　reproduce　the　topological　structure　of　global　economic　system.　Secondly,　it　regarded　the　propagation　of　intermediate　goods　on　the　global　value　chain　as　Markov　process　and　introduced　counting　first　passage　betweenness　to　quantify　the　added　processing　amount　when　globally　final　demand　stimulates　this　production　system.　Thirdly,　it　analyzed　the　features　of　globalization　at　both　global　and　country-sector　level.　(C)　2018　Elsevier　B.V.　All　rights　reserved.