Entropy-based disciplinarity indicator: role taxonomy of journals in scientific communication systems and isolation degree. Knowledge importation/exportation profiles from journals and disciplines

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📝 Original Info

  • Title: Entropy-based disciplinarity indicator: role taxonomy of journals in scientific communication systems and isolation degree. Knowledge importation/exportation profiles from journals and disciplines
  • ArXiv ID: 1302.6528
  • Date: 2013-03-07
  • Authors: Researchers from original ArXiv paper

📝 Abstract

In this research, a new indicator of disciplinarity-multidisciplinarity is developed, discussed and applied. EBDI is based on the combination of the frequency distribution of subject categories of journals citing or cited by the analysis unit and the spread and diversity of the citations among subject categories measured with Shannon-Wiener entropy. Its reproducibility, robustness and consistence are discussed. Four of the combinations of its values when applied to the cited and citing dimensions lead to a suggested taxonomy of the role that the studied unit might have in terms of the transformation of knowledge from different disciplines in the scientific communication system and its position respect a hypothetical thematic core of the discipline in which it has been classified. The indicator is applied to the journals belonging to the first quartile of JCR-SSCI 2011 Library and Information Science and an indicator-based taxonomy is applied and discussed, pointing to differential thematic roles of the journals analyzed.

💡 Deep Analysis

Deep Dive into Entropy-based disciplinarity indicator: role taxonomy of journals in scientific communication systems and isolation degree. Knowledge importation/exportation profiles from journals and disciplines.

In this research, a new indicator of disciplinarity-multidisciplinarity is developed, discussed and applied. EBDI is based on the combination of the frequency distribution of subject categories of journals citing or cited by the analysis unit and the spread and diversity of the citations among subject categories measured with Shannon-Wiener entropy. Its reproducibility, robustness and consistence are discussed. Four of the combinations of its values when applied to the cited and citing dimensions lead to a suggested taxonomy of the role that the studied unit might have in terms of the transformation of knowledge from different disciplines in the scientific communication system and its position respect a hypothetical thematic core of the discipline in which it has been classified. The indicator is applied to the journals belonging to the first quartile of JCR-SSCI 2011 Library and Information Science and an indicator-based taxonomy is applied and discussed, pointing to differential them

📄 Full Content

In this research, a new indicator of disciplinarity-multidisciplinarity is developed, discussed and applied. EBDI is based on the combination of the frequency distribution of subject categories of journals citing or cited by the analysis unit and the spread and diversity of the citations among subject categories measured with Shannon-Wiener entropy. Its reproducibility, robustness and consistence are discussed. Four of the combinations of its values when applied to the cited and citing dimensions lead to a suggested taxonomy of the role that the studied unit might have in terms of the transformation of knowledge from different disciplines in the scientific communication system and its position respect a hypothetical thematic core of the discipline in which it has been classified. The indicator is applied to the journals belonging to the first quartile of JCR-SSCI 2011 Library and Information Science and an indicator-based taxonomy is applied and discussed, pointing to differential thematic roles of the journals analyzed.

Reference

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