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Author bibliographic coupling analysis: A test based on a Chinese academic database

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  • Ma, Ruimin
Abstract
The paper first introduces the basic problems of author bibliographic coupling including the relationship between author bibliographic coupling and document bibliographic coupling as well as the three calculation methods of author coupling strength, namely, simple method, minimum method and combined method. Next I choose a small sample of authors in Chinese library and information science (LIS) as the research objects to have a comparative analysis of three types of author coupling strength algorithms (the data source is from the Chinese Social Sciences Citation Index (CSSCI)). The result shows that the minimum method is the most appropriate one to calculate the author coupling strength. Then a large sample of authors is chosen to analyze the intellectual structure of Chinese LIS. The result shows that author bibliographic coupling analysis (ABCA) can discover the intellectual structure of a discipline better. It is also found that compared with author cocitation analysis (ACA), ABCA has the advantage that it not only can discover the intellectual structure of a discipline more comprehensively and concretely but also can reflect the research frontier of the discipline. Finally, some practical problems that arise during this research are discussed.

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  • Ma, Ruimin, 2012. "Author bibliographic coupling analysis: A test based on a Chinese academic database," Journal of Informetrics, Elsevier, vol. 6(4), pages 532-542.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:4:p:532-542
    DOI: 10.1016/j.joi.2012.04.006
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    References listed on IDEAS

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    1. Per Ahlgren & Bo Jarneving & Ronald Rousseau, 2003. "Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 550-560, April.
    2. Howard D. White, 2003. "Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 423-434, March.
    3. 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.
    4. Howard D. White, 2001. "Authors as citers over time," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(2), pages 87-108.
    5. Steven A. Morris & G. Yen & Zheng Wu & Benyam Asnake, 2003. "Time line visualization of research fronts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 413-422, March.
    6. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    7. Dangzhi Zhao & Andreas Strotmann, 2008. "Information science during the first decade of the web: An enriched author cocitation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(6), pages 916-937, April.
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    Cited by:

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