This　paper　analyzed　the　spreading　effect　of　industrial　sectors　with　complex　network　model　under　perspective　of　econophysics.　Input-output　analysis,　as　an　important　research　tool,　focuses　more　on　static　analysis.　However,　the　fundamental　aim　of　industry　analysis　is　to　figure　out　how　interaction　between　different　industries　makes　impacts　on　economic　development,　which　turns　out　to　be　a　dynamic　process.　Thus,　industrial　complex　network　based　on　input-output　tables　from　WIOD　is　proposed　to　be　a　bridge　connecting　accurate　static　quantitative　analysis　and　comparable　dynamic　one.　With　application　of　revised　structural　holes　theory,　flow　betweenness　and　random　walk　centrality　were　respectively　chosen　to　evaluate　industrial　sectors＇　long-term　and　short-term　spreading　effect　process　in　this　paper.　It　shows　that　industries　with　higher　flow　betweenness　or　random　walk　centrality　would　bring　about　more　intensive　industrial　spreading　effect　to　the　industrial　chains　they　stands　in,　because　value　stream　transmission　of　industrial　sectors　depends　on　how　many　products　or　services　it　can　get　from　the　other　ones,　and　they　are　regarded　as　brokers　with　bigger　information　superiority　and　more　intermediate　interests.