Abstract

Science and technology tracking can provide powerful decision-making information support for science and technology management, and it is an important reference unit for national defence science and technology development planning and technical route. In the context of confidentiality, patent and industry competition, there are transmission barriers between organizations for systematic scientific and technological information, and a large amount of disorderly and excessive point information will lead to information disaster, lack of effective data and tracking methods for quantitative analysis, and the demand side is at a loss. Based on the combination of literature retrieval and data analysis, this paper selects the association between texts through co citation analysis, explains the relationship between tracking targets through co word analysis, and finally selects groups with similar or common characteristics as tracking targets. This paper explores a new way of science and technology tracking, which can provide reference for national defence science and technology tracking.

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