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Doctoral dissertations of Library and Information Science in China: A co-word analysis

Author

Listed:
  • Qian-Jin Zong

    (Nanjing University)

  • Hong-Zhou Shen

    (Nanjing University)

  • Qin-Jian Yuan

    (Nanjing University)

  • Xiao-Wei Hu

    (Nanjing University)

  • Zhi-Ping Hou

    (Nanjing University)

  • Shun-Guo Deng

    (South China Normal University)

Abstract

The aim of this paper is to map the intellectual structure of research in doctoral dissertations of Library and Information Science in China. By use of Co-word analysis, including cluster analysis, strategic diagram and social network analysis, we studied the internal and external structure and relationship of research fields in doctoral dissertations of Library and Information Science in China. Data was collected, during the period of 1994–2011, from six public dissertation databases and ten degree databases provided by the universities/institutes which have been authorized to grant doctoral degrees of Library and Information Science in China. The results show that Wuhan University is the most important institution of doctoral education in LIS in China. The focuses of researches, including information resource, ontology, semantic web, semantic search, electronic government, information resource management, knowledge management, knowledge innovation, knowledge sharing, knowledge organization, network, information service, information need and digital library. The research fields of LIS doctoral dissertations in China are varied. Many of these research fields are still immature; accordingly, the well-developed and core research fields are fewer.

Suggested Citation

  • Qian-Jin Zong & Hong-Zhou Shen & Qin-Jian Yuan & Xiao-Wei Hu & Zhi-Ping Hou & Shun-Guo Deng, 2013. "Doctoral dissertations of Library and Information Science in China: A co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 781-799, February.
    • Handle: RePEc:spr:scient:v:94:y:2013:i:2:d:10.1007_s11192-012-0799-1
    DOI: 10.1007/s11192-012-0799-1
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    as
    1. Ying Yang & Mingzhi Wu & Lei Cui, 2012. "Integration of three visualization methods based on co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 659-673, February.
    2. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    3. Cassidy R. Sugimoto & Daifeng Li & Terrell G. Russell & S. Craig Finlay & Ying Ding, 2011. "The shifting sands of disciplinary development: Analyzing North American Library and Information Science dissertations using latent Dirichlet allocation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 185-204, January.
    4. Jens Peter Andersen & Björn Hammarfelt, 2011. "Price revisited: on the growth of dissertations in eight research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 371-383, August.
    5. Ding, Ying, 2011. "Community detection: Topological vs. topical," Journal of Informetrics, Elsevier, vol. 5(4), pages 498-514.
    6. Limei Zhao & Qingpu Zhang, 2011. "Mapping knowledge domains of Chinese digital library research output, 1994–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 51-87, October.
    7. Mark William Neff & Elizabeth A. Corley, 2009. "35 years and 160,000 articles: A bibliometric exploration of the evolution of ecology," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 657-682, September.
    8. Neal Coulter & Ira Monarch & Suresh Konda, 1998. "Software engineering as seen through its research literature: A study in co‐word analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(13), pages 1206-1223.
    9. Cassidy R. Sugimoto & Daifeng Li & Terrell G. Russell & S. Craig Finlay & Ying Ding, 2011. "The shifting sands of disciplinary development: Analyzing North American Library and Information Science dissertations using latent Dirichlet allocation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 185-204, January.
    10. Li, Daifeng & Ding, Ying & Shuai, Xin & Bollen, Johan & Tang, Jie & Chen, Shanshan & Zhu, Jiayi & Rocha, Guilherme, 2012. "Adding community and dynamic to topic models," Journal of Informetrics, Elsevier, vol. 6(2), pages 237-253.
    11. Tomas Cahlik, 2000. "Comparison of the Maps of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 373-387, November.
    12. Anna Villarroya & Maite Barrios & Angel Borrego & Amparo Frías, 2008. "PhD theses in Spain: A gender study covering the years 1990–2004," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(3), pages 469-483, December.
    13. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    14. Cassidy R. Sugimoto, 2011. "Looking across communicative genres: a call for inclusive indicators of interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 449-461, February.
    15. Hakan Yaman & E Atay, 2007. "PhD theses in Turkish sports sciences: A study covering the years 1988–2002," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 415-421, June.
    16. Xin Ying An & Qing Qiang Wu, 2011. "Co-word analysis of the trends in stem cells field based on subject heading weighting," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 133-144, July.
    17. Bangrae Lee & Yong-Il Jeong, 2008. "Mapping Korea’s national R&D domain of robot technology by using the co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 3-19, October.
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    More about this item

    Keywords

    Co-word analysis; Strategic diagram; LIS doctoral dissertations in China; Library and Information Science;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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