Global Maps of Science Based on Paper-level Classifications of Science

Authors

  • Jianghua Ma

DOI:

https://doi.org/10.54097/01y5hp65

Keywords:

Science Mapping, Mapping Knowledge Domains, Interdisciplinarity, Classifications of Science, Chinese Library Classification Scheme

Abstract

Science mapping (or mapping knowledge domains) has been a hot topic in scientometrics field since 1990s. Science maps are generally created by analyzing different kinds of scientific literatures, including journal articles, conference proceedings, patents, books, and monographs. Citation analysis (eg. direct citation, co-citation, bibliographic coupling and hybrid approach) with units in different granularity (eg. authors, keywords, articles, journals and cate-gories) is the most popular method to create maps of science. In this study, paper-level classification codes of science based on Chinese Library Classification Scheme (CLC) are used to draw global maps of science. Paper-level classification codes of 3,490,665 academic articles published from 2008 to 2018 in 1,687 core Chinese journals indexed by CSSCI (Chinese Social Sciences Citation Index) and CSCD (Chinese Science Citation Database) are harvested and three kinds of approaches (publishing, co-assignments and citing networks with various of interdisciplinary measures) are applied to construct and analyze global maps of science. The novel CLC-based science maps reveal new relations among different disciplines of science in Chinese knowledge organization system, which offers a new way to comprehensively understand the landscape of scientific domains and how they interact.

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References

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Published

29-05-2024

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Section

Articles