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Early identification of intellectual structure based on co-word analysis from research grants

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Abstract

From the initial idea, writing, submitting, and reviewing to the online presentation of a research paper takes a long time. The identified intellectual structure of a research paper may have a certain time lag. In view of this problem, scholars have suggested that research grants may be an alternative way to identify intellectual structure as early as possible. However, these comments are mentioned qualitatively. Few researchers have verified the research grant by early identification of the intellectual structure of a field with a quantitative method. Therefore, this paper proposes a new method framework to confirm the lead-lag relationship quantitatively between intellectual structures identified by the research grant and the research paper. In empirical analysis, Operations Research and Management Science in China was selected as a specific research area. The results show that the intellectual structure identified by the research grant leads the intellectual structure of a research paper by approximately 1–2 years. These discoveries, to some extent, confirm the early identification of intellectual structure based on the research grant. In addition, the results also indicate that there is high similarity between intellectual structure identified by the research grant and that in the research paper in the previous year.

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Notes

  1. The full record illustrates one research paper’s detailed information, including the authors, the title, the journal name, the author keywords, the Keywords Plus, the abstract, the published year, and so on.

  2. In the construction of co-word network, it often occurs that a keyword in one co-word network but not in the other one. To have a better comparison, isolated nodes have been added to each network to make sure the same nodes existed in the compared networks.

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Acknowledgements

This research was supported by Grants from the National Natural Science Foundation of China (71874180, 71425002) and the Key Research Program of Frontier Sciences of the Chinese Academy of Sciences (QYZDB-SSW-SYS036).

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Correspondence to Dengsheng Wu.

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Chen, X., Li, J., Sun, X. et al. Early identification of intellectual structure based on co-word analysis from research grants. Scientometrics 121, 349–369 (2019). https://doi.org/10.1007/s11192-019-03187-9

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  • DOI: https://doi.org/10.1007/s11192-019-03187-9

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