5G wireless technology evolution: identifying evolution pathways of core technologies based on patent networks

With the rapid development of 5G technology, studying its evolution path is crucial for innovation and development. This study explores the evolution of 5G technology using patent data analysis. By applying main path analysis and network techniques to a dataset from the IncoPat patent database, the study identifies the main path of 5G technology evolution and analyzes its trends. The Citespace is used to construct citation networks and reveal the main path of the patent citation network, regional citation network, and institutional citation network. Furthermore, the study incorporates the 5G technology lifecycle to dynamically interpret the main path and analyze the major evolution trends of 5G technology. The methodology includes data collection from the IncoPat patent database and the adoption of clustering analysis to identify community structure within citation networks. The Log Likelihood Ratio (LLR) algorithm is employed for community detection, facilitating the analysis of interrelationships among different communities. The main path analysis involves traversal counting and path searching, with the LLR algorithm selected to identify critical nodes in the evolutionary paths of technologies. Additionally, dynamic main path analysis is conducted by incorporating the temporal attribute, enabling the observation of the dynamic changes in technological evolution. The study concludes with important insights into the current development status and evolution of 5G technology, shedding light on key paths and trends in 5G technology evolution.