University of New South Wales Sydney, Australia
The research on the subject identification method based on knowledge map is a method research that combines a variety of metrological methods and scientific knowledge map technology to deeply analyze and analyze the structural relationship of the subject knowledge system, identify and detect research hot topics and their changing trends in the subject area, with a view to To better help scientific researchers better grasp the subject structure and hot topics from large-scale scientific and technological literature, and become a new method and new way for scientific and technological decision-makers to effectively carry out scientific and technological management in the new environment. This article first summarizes, combs, and refines the knowledge graph theory and its research methods; secondly, it explains the co-word analysis theory and co-occurrence analysis theory in detail, including the construction of analysis models and analysis processes, and the key technologies involved in journal relationship analysis. Research; Finally, in the experimental part, this article uses the literature of the molecular plant in the Web of Science database from the beginning of 2008 to March 2020 as the research object, using CiteSpace II software for literature co-citation analysis and co-word analysis, and knowledge visualization map method Demonstrate research institutions, knowledge bases, research hotspots, and research fronts in the field of plant science for more than a decade. Visualization results show that seed development is the most used burst word in molecular plant journals in the past three years, with 44 times of use. Compared with other burst words, the frequency of use is more than 30%, indicating that seed development is a plant science in recent years. Research fronts and research hotspots in the field.
Knowledge Atlas, CiteSpace II, Plant Science, Visual Analysis
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