Microblogs　are　very　popular　large-scale　communication　social　networks　nowadays　in　China.　In　order　to　study　the　characteristics　of　Sina　Microblogs,　we　collect　a　large　amount　of　users＇　data　based　on　the　Sina　Microblogs　and　place　them　in　the　database.　Using　these　data,　we　visualize　the　Microblogs　network　model　and　create　a　complex　network　model.　We　study　Sina　Microblogs＇　network　properties　through　the　data　of　the　complex　network　model,　such　as　nodes,　links,　degrees　clustering　coefficient　and　average　distance.　Then　we　analyse　the　similarity　and　difference　between　Sina　and　Twitter.　The　visualization　of　complex　network　helps　users　easily　identify　the　central　node　and　the　edge　area,　so　that　information　would　be　spread　more　effective　and　quickly　in　the　shortest　possible　time　through　the　specified　node.　So　we　discuss　this　method　to　deal　with　emergences　especially　natural　disasters.