Polysilicon,　a　critical　raw　material　for　photovoltaic　cell　production,　plays　a　vital　role　in　global　energy　development　and　technological　advancement.　This　study　constructs　and　analyzes　the　Global　Polysilicon　Trade　Network　(GPSTN)　using　complex　network　theory,　drawing　on　trade　data　from　the　United　Nations　Comtrade　Database　spanning　2000　to　2022.　The　study　examines　the　network＇s　topological　evolution　through　parameters　including　density,　average　clustering　coefficient,　and　heterogeneity　index.　Additionally,　it　evaluates　network　robustness　under　different　node　removal　scenarios.　Results　reveal　the　GPSTN＇s　core-periphery　structure,　with　China　and　Japan　emerging　as　major　importers,　while　the　United　States　and　Germany　dominate　exports.　The　network　demonstrates　strong　resilience　against　random　disruptions　but　exhibits　significant　vulnerability　to　targeted　removals　of　key　nodes.　These　findings　underscore　the　importance　of　enhanced　monitoring　and　risk　management　strategies　for　critical　nodes　in　global　trade　networks.　The　study　provides　valuable　insights　for　information　management,　emphasizing　the　need　for　adaptive　approaches　to　improve　network　stability　and　resilience　in　an　increasingly　complex　global　trade　landscape.　　©　2024　ACM.