Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Core technology topic identification based on a large number of patent documents is helpful to detect key technologies in a technical field and to analyze the direction of the development of key technologies. It is the basic information work for technological innovation and has certain significance for researchers, enterprises and even the national level.[Method/process] This paper proposes a core technology topic identification method based on Chunk-LDAvis. Firstly, it is based on the classic LDA model to identify the topics. Then, the noun chunk is used to mark the results of the initial LDA topic identification, and the result of the Chunk-LDA topic recognition is constructed to improve its interpretability. Then based on the social network analysis method, the topic network is constructed to identify the core technical topics; based on the LDAvis toolkit, the interactive Chunk-LDAvis core technology topic association analysis map is plotted, and the hidden links of the core technical topics are found, and the core technology topic detection is assisted.[Result/conclusion] Through the empirical study on the field of nanoscale agriculture, the accuracy and feasibility of the proposed method are verified.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Knowledge units in scientific knowledge networks show certain clustering and communality, revealing the basic patterns and rules of community expansion and convergence in the process of changing the time series of scientific knowledge networks, which has certain significance for expanding and deepening the research on the diffusion and transmission of scientific knowledge. [Method/process] Firstly, the adjacency matrix was built based on the citation relation, and then the subject knowledge network was constructed. The Louvain community detection algorithm in complex network analysis is used to divide the domain knowledge network into communities. Then, the Graph Embedding technique was used to represent and calculate the community expansion and convergence characteristics. Finally, the time series was used as the time series. Logical clues were used to dynamically track and model the process of expansion and convergence of different communities, so as to reveal the basic patterns and laws of community expansion and convergence in the process of time series change of scientific knowledge network. [Result/conclusion] A case study in the field of health information shows that the trend of community expansion conforms to the Logistic model in the S-shaped curve function and the trend of community convergence conforms to the BiHill model in the S-shaped curve function.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper proposes the identification of the core research topics and their evolution path visualization methods, in order to provide reference for the field subject evolution analysis research, which has certain significance for revealing the evolution characteristics and development laws of the core topics.[Method/process] Using the LDA model for topic recognition and combining multi-dimensional scaling analysis and visualization techniques to map LDA topic recognition results to two-dimensional space. The topic similarity algorithm was used to detect the association between adjacent time topics, a new visual display method was proposed. We constructed cross-evolution paths of different types of research topics to reveal the dynamic changes of core topics and secondary topics in the evolution process.[Result/conclusion] Taking the medical health information field in China as an example, the research results show that the core research topics in the field of medical and health information in China mainly include electronic health records and Internet medical treatment. Among them, core themes such as health management and smart medical treatment show a good development trend.
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