One　of　the　most　challenging　issues　of　contemporary　complex　network　research　is　to　understand　the　structure　of　the　multilayer　network　better.　It　is　focused　on　the　feature　and　influence　of　complex　system　converged　by　different　scales.　A　framework　is　developed　for　linking　the　data　of　different　networks,　such　as　the　maritime　network,　air　freight　network,　organization　network　of　logistics　enterprises　and　international　trade　network.　The　primary　purpose　of　this　study　is　to　analyze　the　structural　complexity　of　the　logistics　network　by　indicators　of　network　structure　and　the　influence　of　the　nodes　using　the　method　of　Gephi.　And　further,　the　multilayer　network　is　converged　by　the　link　overlap　to　evaluate　what　kind　of　the　developing　phase　based　on　the　algorithm　of　t-SNE　and　k-means.　ArcGIS　is　applied　to　visualize　the　spatial　distribution　of　the　different　groups　of　the　logistics　hub　cities.　The　analysis　highlights　that　the　structure　of　the　logistics　network　features　small　world　property　and　scale-　free.　Besides,　the　backbone　of　the　logistics　network　is　diamond-　shaped　and　distributed　by　five　significant　areas　(Western　Europe,　Eastern　and　Southern　Asia,　Western　Asia,　Eastern　North　America).　Moreover,　the　network　of　logistics　hub　is　hierarchical,　and　the　urban　at　different　levels　show　remarkable　spatial　heterogeneity.　Copyright　©　2019　by　Science　Press.