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Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappings

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  • Bu, Yi
  • Ni, Shaokang
  • Huang, Win-bin

Abstract

Author cocitation analysis (ACA) is a branch of bibliometrics and knowledge representation that aims to map knowledge domains. However, ACA has been criticized because count-based measurement is too simple, and resulting maps are insufficiently informative. Since different scholarly relationships, e.g., coauthorship and author bibliographic coupling relationships, can extract out different relationships among authors in various perspectives, combining them with ACA for constructing knowledge domain mappings is our major purpose. The proposed method constructs the hybrid matrix from all relationships in four steps: relationship normalization, calculating the similarity between scholarly relationships, calculating adjustment parameters, and constructing hybrid relationships. The important parameters for integrating these matrices are calculated according to the distance in the hyperspace transformed from the similarity among the scholarly relationships by exploratory factor analysis. Compared with ACA, the results of the proposed method show: (1) More sub-fields in the given discipline can be identified when combining other scholarly relationships; (2) The more scholarly relationships added into ACA, the more details in terms of research area the method will find; (3) Good visualization in clustering is depicted when we combine other scholarly relationships. As a result, the proposed method offers a good choice to understand researchers and to map knowledge domains in a study field for integrating more scholarly relationships at the same time.

Suggested Citation

  • Bu, Yi & Ni, Shaokang & Huang, Win-bin, 2017. "Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappings," Journal of Informetrics, Elsevier, vol. 11(3), pages 810-822.
    • Handle: RePEc:eee:infome:v:11:y:2017:i:3:p:810-822
    DOI: 10.1016/j.joi.2017.06.004
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    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    2. Dangzhi Zhao & Andreas Strotmann, 2014. "The knowledge base and research front of information science 2006–2010: An author cocitation and bibliographic coupling analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 995-1006, May.
    3. Erjia Yan & Ying Ding, 2012. "Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1313-1326, July.
    4. Erjia Yan & Ying Ding, 2012. "Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1313-1326, July.
    5. Yi Bu & Tian-yi Liu & Win-bin Huang, 2016. "MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 143-166, July.
    6. Michel Zitt & Elise Bassecoulard & Yoshiko Okubo, 2000. "Shadows of the Past in International Cooperation: Collaboration Profiles of the Top Five Producers of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 627-657, March.
    7. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    8. Liang-Chu Chen & Yen-Hsuan Lien, 2011. "Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 867-886, December.
    9. Jeong, Yoo Kyung & Song, Min & Ding, Ying, 2014. "Content-based author co-citation analysis," Journal of Informetrics, Elsevier, vol. 8(1), pages 197-211.
    10. Kim, Ha Jin & Jeong, Yoo Kyung & Song, Min, 2016. "Content- and proximity-based author co-citation analysis using citation sentences," Journal of Informetrics, Elsevier, vol. 10(4), pages 954-966.
    11. Staša Milojević, 2010. "Modes of collaboration in modern science: Beyond power laws and preferential attachment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1410-1423, July.
    12. Olle Persson, 2001. "All author citations versus first author citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 339-344, February.
    13. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    14. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    15. Zhao, Dangzhi & Strotmann, Andreas, 2008. "Comparing all-author and first-author co-citation analyses of information science," Journal of Informetrics, Elsevier, vol. 2(3), pages 229-239.
    16. Katherine W. McCain, 1990. "Mapping authors in intellectual space: A technical overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 433-443, September.
    17. Leo Egghe & Loet Leydesdorff, 2009. "The relation between Pearson's correlation coefficient r and Salton's cosine measure," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 1027-1036, May.
    18. Howard D. White & Katherine W. McCain, 1998. "Visualizing a discipline: An author co‐citation analysis of information science, 1972–1995," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(4), pages 327-355.
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    8. Prathap, Gangan & Ujum, Ephrance Abu & Kumar, Sameer & Ratnavelu, Kuru, 2021. "Scoring the resourcefulness of researchers using bibliographic coupling patterns," Journal of Informetrics, Elsevier, vol. 15(3).

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