Knowledge Discovery and Evolution Analysis of Report Publication Based on Supernetwork

GUO Linjiang, ZHANG Yunrui, LIU Yijun

Journal of Systems Science and Mathematical Sciences ›› 2023, Vol. 43 ›› Issue (10) : 2467-2479.

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Journal of Systems Science and Mathematical Sciences ›› 2023, Vol. 43 ›› Issue (10) : 2467-2479. DOI: 10.12341/jssms22864

Knowledge Discovery and Evolution Analysis of Report Publication Based on Supernetwork

  • GUO Linjiang1,2, ZHANG Yunrui1,2, LIU Yijun1,2
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Abstract

In recent years, the number of Chinese report publications, which serve as an important application-oriented knowledge product, has increased substantially. To better understand the evolution of subject and knowledge changes within this field, this study examines more than 15,000 published Chinese report publications over a 20-year period. The data is analyzed based on three components: Titles, introductions, and authors, and a supernetwork is established to explore shared knowledge flow and subject evolution. By identifying features of the supernetwork and detecting knowledge communities, this study classifies the types of report publications evolution. Results show that the field has experienced subdivision and cross-disciplinary development over the past two decades, with knowledge evolution driven by policy and public opinion. This research contributes to our understanding of the knowledge characteristics and evolution of report publication and can inform decision-making in related fields. The use of the supernetwork method in this study offers innovative and practical applications in knowledge discovery research.

Key words

Report publications / supernetwork / text mining / knowledge discovery / knowledge evolution

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GUO Linjiang , ZHANG Yunrui , LIU Yijun. Knowledge Discovery and Evolution Analysis of Report Publication Based on Supernetwork. Journal of System Science and Mathematical Science Chinese Series, 2023, 43(10): 2467-2479 https://doi.org/10.12341/jssms22864

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