Topological Analysis and Robustness Assessment of the Global Polysilicon Trade Network: Implications for Information Management

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.