The present disclosure relates to a key node identification method based on a technology graph, including: building a technology graph; performing centrality calculation on node data in the technology graph, to obtain a key node; reducing dimensions of the technical indicators of the node data by using a principal component analysis method; and analyzing a relationship between the key node and the simplified technical indicators, to obtain key nodes of different categories. Compared with the prior art, the present disclosure integrates network centrality indicators and literature measurement of scientific and technological resources, and resolves disadvantages such as undiversified and impractical indicators for identifying a key node in the technology graph. Based on relevant theories of complex network technologies, quantitative calculation is performed on relevant indicators of the technology graph, thereby helping more accurately to identify a key node, to discover a trend of technology research or a technology trend clue, and to provide decision support for technological innovation.
Key node identification method based on technology graph