With　the　expansion　of　globalization,　the　internationalization　of　education　has　become　an　essential　strategy　for　developing　in　various　countries.　To　obtain　higher　education,　more　and　more　students　decide　to　study　abroad.　Many　countries　have　been　recruiting　talented　people　to　promote　education　and　technology　innovation　in　recent　years.　In　particular,　emerging　and　developing　countries　have　improved　systems　on　talent　introduction.　Meanwhile,　the　internationalization　of　education　has　become　one　of　the　important　factors　affecting　the　economic　development　of　a　country.　Thus,　the　environment　for　talent　development　has　been　improving,　and　the　international　talent　flow　mode　has　become　increasingly　diversified,　and　it　is　of　certain　guiding　significance　to　analyze　and　formulate　corresponding　laws　according　to　the　behavior　of　foreign　students.　This　article　constructs　a　weighted　directed　network　to　analyze　the　network＇s　evolution　by　global　student　mobility　data　from　2007　to　2016.　The　results　are　as　follows:　first,　the　network　has　a　small　average　path　length　and　significant　average　clustering　coefficient,　showing　small-world　characteristics.　Second,　the　density　shows　a　trend　of　first　reducing　and　then　rising.　It　explains　that　emerging　countries　also　improve　the　ability　to　attract　talents,　and　interactions　between　countries　are　becoming　more　frequent.　Moreover,　degree　and　degree　centrality　gradually　increase,　indicating　that　the　number　of　students　is　rising,　and　the　study　abroad　path　is　also　growing　in　the　network.　Finally,　the　division　of　community　based　on　the　label　propagation　and　semi-supervised　learning　to　demonstrate　the　club＇s　change　reflects　the　communications　of　these　communities　during　the　decade.