IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v91y2012i1d10.1007_s11192-011-0586-4.html
   My bibliography  Save this article

A co-word analysis of digital library field in China

Author

Listed:
  • Gao-Yong Liu

    (Guangdong University of Technology)

  • Ji-Ming Hu

    (Wuhan University)

  • Hui-Ling Wang

    (Management School of Jinan University)

Abstract

The aim of this study is to map the intellectual structure of digital library (DL) field in China during the period of 2002–2011. Co-word analysis was employed to reveal the patterns of DL field in China through measuring the association strength of keywords in relevant journals. Data was collected from Chinese Journal Full-Text Database during the period of 2002–2011. And then, the co-occurrence matrix of keywords was analyzed by the methods of multivariate statistical analysis and social network analysis. The results mainly include five parts: seven clusters of keywords, a two-dimensional map, the density and centrality of clusters, a strategic diagram, and a relation network. The results show that there are some hot research topics and marginal topics in DL field in China, but the research topics are relatively decentralized compared with the international studies.

Suggested Citation

  • Gao-Yong Liu & Ji-Ming Hu & Hui-Ling Wang, 2012. "A co-word analysis of digital library field in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 203-217, April.
    • Handle: RePEc:spr:scient:v:91:y:2012:i:1:d:10.1007_s11192-011-0586-4
    DOI: 10.1007/s11192-011-0586-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-011-0586-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-011-0586-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    2. Woo Hyoung Lee, 2008. "How to identify emerging research fields using scientometrics: An example in the field of Information Security," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 503-525, September.
    3. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chunmei Gan & Weijun Wang, 2015. "Research characteristics and status on social media in China: A bibliometric and co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1167-1182, November.
    2. Shubham Sharma & Usha Lenka, 2022. "On the shoulders of giants: uncovering key themes of organizational unlearning research in mainstream management journals," Review of Managerial Science, Springer, vol. 16(6), pages 1599-1695, August.
    3. Rosa Maria Arnaldo Valdés & Serhat Burmaoglu & Vincenzo Tucci & Luiz Manuel Braga da Costa Campos & Lucia Mattera & Víctor Fernando Gomez Comendador, 2019. "Flight Path 2050 and ACARE Goals for Maintaining and Extending Industrial Leadership in Aviation: A Map of the Aviation Technology Space," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    4. Xiaoguang Wang & Hongyu Wang & Han Huang, 2021. "Evolutionary exploration and comparative analysis of the research topic networks in information disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4991-5017, June.
    5. Chang-Ping Hu & Ji-Ming Hu & Sheng-Li Deng & Yong Liu, 2013. "A co-word analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 369-382, November.
    6. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    7. Li, Qing & Zhang, Huaige & Hong, Xianpei, 2020. "Knowledge structure of technology licensing based on co-keywords network: A review and future directions," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 154-165.
    8. Anke Piepenbrink & Elkin Nurmammadov, 2015. "Topics in the literature of transition economies and emerging markets," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2107-2130, March.
    9. Aliakbar Pourhatami & Mohammad Kaviyani-Charati & Bahareh Kargar & Hamed Baziyad & Maryam Kargar & Carlos Olmeda-Gómez, 2021. "Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6625-6657, August.
    10. Zhichao Ba & Yujie Cao & Jin Mao & Gang Li, 2019. "A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1455-1486, June.
    11. Jia-Yen Huang & Rong-Chang Chen, 2019. "Exploring the intellectual structure of cloud patents using non-exhaustive overlaps," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 739-769, November.
    12. Serhat Burmaoglu & Ozcan Saritas & Levent Bekir Kıdak & İpek Camuz Berber, 2017. "Evolution of connected health: a network perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1419-1438, September.
    13. Zongshui Wang & Hong Zhao & Yan Wang, 2015. "Social networks in marketing research 2001–2014: a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 65-82, October.
    14. Sung Kim & Derek Hansen & Richard Helps, 2018. "Computing research in the academy: insights from theses and dissertations," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 135-158, January.
    15. Lu Xiao & Guo Chen & Jianjun Sun & Shuguang Han & Chengzhi Zhang, 2016. "Exploring the topic hierarchy of digital library research in China using keyword networks: a K-core decomposition approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1085-1101, September.
    16. A. V. Chumachenko & B. G. Kreminskyi & Iu. L. Mosenkis & A. I. Yakimenko, 2020. "Dynamics of topic formation and quantitative analysis of hot trends in physical science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 739-753, October.
    17. Eduardsen, Jonas & Marinova, Svetla, 2020. "Internationalisation and risk: Literature review, integrative framework and research agenda," International Business Review, Elsevier, vol. 29(3).
    18. E. M. Murgado-Armenteros & M. Gutiérrez-Salcedo & F. J. Torres-Ruiz & M. J. Cobo, 2015. "Analysing the conceptual evolution of qualitative marketing research through science mapping analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 519-557, January.
    19. Qikai Cheng & Jiamin Wang & Wei Lu & Yong Huang & Yi Bu, 2020. "Keyword-citation-keyword network: a new perspective of discipline knowledge structure analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1923-1943, September.
    20. Yijing Wang & Changfeng Wang, 2023. "The dark side of knowledge transfer: A visual analysis using VOSviewer," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 26(2), pages 122-139, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francisco García-Lillo & Enrique Claver-Cortés & Bartolomé Marco-Lajara & Mercedes Úbeda-García, 2017. "Mapping the Intellectual Structure of Research on ‘Born Global’ Firms and INVs: A Citation/Co-citation Analysis," Management International Review, Springer, vol. 57(4), pages 631-652, August.
    2. Babak Amiri & Ramin Karimianghadim & Navid Yazdanjue & Liaquat Hossain, 2021. "Research topics and trends of the hashtag recommendation domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2689-2735, April.
    3. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    4. Juan J. Nájera-Sánchez, 2019. "A Systematic Review of Sustainable Banking through a Co-Word Analysis," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    5. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    6. Lilian Cervo Cabrera & Carlos Eduardo Caldarelli & Marcia Regina Gabardo Camara, 2020. "Mapping collaboration in international coffee certification research," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2597-2618, September.
    7. Chang-Ping Hu & Ji-Ming Hu & Sheng-Li Deng & Yong Liu, 2013. "A co-word analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 369-382, November.
    8. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    9. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    10. Dzikowski, Piotr, 2018. "A bibliometric analysis of born global firms," Journal of Business Research, Elsevier, vol. 85(C), pages 281-294.
    11. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
    12. Satish Kumar & Riya Sureka & Sisira Colombage, 2020. "Capital structure of SMEs: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 70(4), pages 535-565, November.
    13. Yakath Ali, Nurul Syuhadah & Yu, Chunyan & See, Kok Fong, 2021. "Four decades of airline productivity and efficiency studies: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 96(C).
    14. Ruben Heradio & David Fernandez-Amoros & Cristina Cerrada & Manuel J. Cobo, 2020. "Group Decision-Making Based on Artificial Intelligence: A Bibliometric Analysis," Mathematics, MDPI, vol. 8(9), pages 1-20, September.
    15. Patrick Röhm, 2018. "Exploring the landscape of corporate venture capital: a systematic review of the entrepreneurial and finance literature," Management Review Quarterly, Springer, vol. 68(3), pages 279-319, August.
    16. Shashi & Piera Centobelli & Roberto Cerchione & Amit Mittal, 2021. "Managing sustainability in luxury industry to pursue circular economy strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 432-462, January.
    17. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    18. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    19. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    20. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:91:y:2012:i:1:d:10.1007_s11192-011-0586-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.