Application of an Improved Link Prediction Algorithm Based on Complex Network in Industrial Structure Adjustment

For a healthy industrial structure (IS) and stable economic development in China, this study proposes an improved link prediction algorithm (LP) based on complex networks. The calculates the similarity by constructing mixed index. A regional IS network model is built study, direction of adjustment calculated with indicators. In accuracy proposed LP real dataset up to 0.944, which significantly higher than that other algorithms. reality optimization, industries high could be obtained through algorithms, reasonable coordinated strategies are proposed. addition, simulated strategy shows it highly sustainable development, reflected its lower carbon emissions. optimization achieved algorithm. This provides valuable suggestions for China’s adjustment.