Identifying Technology Opportunities Based on Link Prediction and Multi-dimensional Index
[Objective]Starting from the technology integration perspective,this paper uses link prediction and indicator evaluation methods to identify technological opportunities for enterprises,providing references for strategic research and development.[Methods]Based on the patent data of the target enterprise,we constructed a co-occurrence network of knowledge elements.We also used the link prediction method to identify potential knowledge combinations.From the perspectives of internal technology endowment and external innovation environment,we created a multi-dimensional index to evaluate the feasibility of potential knowledge combinations.Finally,we created a distribution map of potential knowledge combinations to identify technological opportunities for enterprises.[Results]We constructed the link prediction model using six machine learning algorithms,with the highest accuracy reaching 0.810.We accurately identified ten technological opportunities for the target enterprise and presented the corresponding relationship between the technology description and functional modules.[Limitations]This study only included knowledge combinations presented in the form of IPC pairs.Further exploration is needed for knowledge combinations in multiple IPC forms.[Conclusions]Combining the link prediction methods and multi-dimensional indicator evaluation methods can more accurately identify technological opportunities for enterprises.
NETL
NSTL
万方数据
