Zhishi guanli luntan (Feb 2021)

Diversity of Keywords and Title Segmentation Words and a Comparison of Their Knowledge Mappings

  • Li Jihong,
  • Xu Guizhen,
  • Jiang Shan,
  • Wang Hongjiang

DOI
https://doi.org/10.13266/j.issn.2095-5472.2021.005
Journal volume & issue
Vol. 6, no. 1
pp. 0 – 0

Abstract

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［Purpose/significance］This paper aims to explore the diversity of keywords and title segmentation words, the differences of the knowledge mappings drawn based on them.［Method/process］We selected papers related to "academic misconduct" from CNKI from 2010 to 2019, used diversity indexes to analyze the characteristics of keywords and title segmentation words quantitatively, and compared their knowledge mappings by Citespace software qualitatively.［Result/conclusion］The results have shown that the richness index (S), Shannon-Wiener diversity index (H') and Pielou evenness index (EH ) of keywords were different from those of title segmentation words, and the similarity of these two units was low, indicating the keywords and title segmentation words are two different units in this paper. Although there are differences in the knowledge mappings drawn based on keywords and title segmentation words, both of them can demonstrate the research topics in the field of "academic misconduct" from their perspectives.

Keywords