IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v109y2016i3d10.1007_s11192-016-2146-4.html
   My bibliography  Save this article

A study on construction and analysis of discipline knowledge structure of Chinese LIS based on CSSCI

Author

Listed:
  • Hao Wang

    (School of Information Management of Nanjing University)

  • Sanhong Deng

    (School of Information Management of Nanjing University)

  • Xinning Su

    (School of Information Management of Nanjing University)

Abstract

This study proposes a method to automatically establish a narrow-sense knowledge structure for Chinese Library and Information Science (CLIS) using data from the Chinese Social Science Citation Index. The method applies multi-level clustering, using ontological ideas as theoretical guidance and ontology learning techniques as technical means. Knowledge categories generated are checked for cohesion and coupling through hierarchical clustering analysis and multidimensional scaling analysis in order to verify the accuracy and rationality of the narrow-sense knowledge structure of CLIS. Finally, the narrow-sense knowledge structure is expanded to a broad sense. Using scholars as objects in examples, this study discusses the semantic associations between topic knowledge and the other academic objects in CLIS from the micro-, meso-, and macro-levels, so as to fully explore the broad-sense knowledge structure of CLIS for knowledge analysis and applications.

Suggested Citation

  • Hao Wang & Sanhong Deng & Xinning Su, 2016. "A study on construction and analysis of discipline knowledge structure of Chinese LIS based on CSSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1725-1759, December.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:3:d:10.1007_s11192-016-2146-4
    DOI: 10.1007/s11192-016-2146-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-016-2146-4
    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/s11192-016-2146-4?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. Jenny-Ann Brodin Danell, 2014. "Reception of integrative and complementary medicine (ICM) in scientific journals: a citation and co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 807-821, 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. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    4. Hamid Darvish & Yaşar Tonta, 2016. "Diffusion of nanotechnology knowledge in Turkey and its network structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 569-592, May.
    5. María Pinto, 2015. "Viewing and exploring the subject area of information literacy assessment in higher education (2000–2011)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 227-245, January.
    6. Senator Jeong & Hong-Gee Kim, 2010. "Intellectual structure of biomedical informatics reflected in scholarly events," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 541-551, November.
    7. S. Ravikumar & Ashutosh Agrahari & S. N. Singh, 2015. "Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 929-955, January.
    8. José Luis Aleixandre & José Luis Aleixandre-Tudó & Máxima Bolaños-Pizarro & Rafael Aleixandre-Benavent, 2015. "Mapping the scientific research in organic farming: a bibliometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 295-309, October.
    9. Jean A. Pratt & Karina Hauser & Cassidy R. Sugimoto, 2012. "Defining the intellectual structure of information systems and related college of business disciplines: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 279-304, November.
    10. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    11. Giulia Calabretta & Boris Durisin & Marco Ogliengo, 2011. "Uncovering the Intellectual Structure of Research in Business Ethics: A Journey Through the History, the Classics, and the Pillars of Journal of Business Ethics," Journal of Business Ethics, Springer, vol. 104(4), pages 499-524, December.
    12. 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.
    13. Zao Liu, 2005. "Visualizing the intellectual structure in urban studies: A journal co-citation analysis (1992-2002)," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(3), pages 385-402, March.
    14. Raymundo das Neves Machado & Benjamín Vargas-Quesada & Jacqueline Leta, 2016. "Intellectual structure in stem cell research: exploring Brazilian scientific articles from 2001 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 525-537, February.
    15. Emanuela Riviera, 2015. "Testing the strength of the normative approach in citation theory through relational bibliometrics: The case of italian sociology," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(6), pages 1178-1188, June.
    16. Torres-Salinas, Daniel & Moed, Henk F., 2009. "Library Catalog Analysis as a tool in studies of social sciences and humanities: An exploratory study of published book titles in Economics," Journal of Informetrics, Elsevier, vol. 3(1), pages 9-26.
    17. 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.
    18. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    19. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.
    20. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    21. Seyedghorban, Zahra & Matanda, Margaret Jekanyika & LaPlaca, Peter, 2016. "Advancing theory and knowledge in the business-to-business branding literature," Journal of Business Research, Elsevier, vol. 69(8), pages 2664-2677.
    22. 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.
    23. 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.
    24. Tahereh Dehdarirad & Anna Villarroya & Maite Barrios, 2014. "Research trends in gender differences in higher education and science: a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 273-290, October.
    25. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    26. Loet Leydesdorff & Liwen Vaughan, 2006. "Co‐occurrence matrices and their applications in information science: Extending ACA to the Web environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1616-1628, October.
    27. Reza Naghizadeh & Shaban Elahi & Manoochehr Manteghi & Sepehr Ghazinoory & Marina Ranga, 2015. "Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2481-2505, November.
    28. Moris Triventi, 2014. "Higher education regimes: an empirical classification of higher education systems and its relationship with student accessibility," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1685-1703, May.
    29. Nicholas V. Olijnyk, 2015. "A quantitative examination of the intellectual profile and evolution of information security from 1965 to 2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 883-904, November.
    30. 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.
    31. Bei-Ni Yan & Tian-Shyug Lee & Tsung-Pei Lee, 2015. "Mapping the intellectual structure of the Internet of Things (IoT) field (2000–2014): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1285-1300, November.
    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. Kaile Gong & Juan Xie & Ying Cheng & Vincent Larivière & Cassidy R. Sugimoto, 2019. "The citation advantage of foreign language references for Chinese social science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1439-1460, September.
    2. 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.
    3. Kaile Gong & Ying Cheng, 2022. "Patterns and impact of collaboration in China’s social sciences: cross-database comparisons between CSSCI and SSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5947-5964, October.

    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. Seyedmohammadreza Hosseini & Hamed Baziyad & Rasoul Norouzi & Sheida Jabbedari Khiabani & Győző Gidófalvi & Amir Albadvi & Abbas Alimohammadi & Seyedehsan Seyedabrishami, 2021. "Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2667-2688, April.
    2. Manuel Castriotta & Michela Loi & Elona Marku & Luca Naitana, 2019. "What’s in a name? Exploring the conceptual structure of emerging organizations," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 407-437, February.
    3. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    4. Yi Bu & Binglu Wang & Win-bin Huang & Shangkun Che & Yong Huang, 2018. "Using the appearance of citations in full text on author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 275-289, July.
    5. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
    6. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    7. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    8. Sabrina Petersohn & Thomas Heinze, 2018. "Professionalization of bibliometric research assessment. Insights from the history of the Leiden Centre for Science and Technology Studies (CWTS)," Science and Public Policy, Oxford University Press, vol. 45(4), pages 565-578.
    9. 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.
    10. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    11. Claudia Patricia Maldonado-Erazo & José Álvarez-García & María de la Cruz del Río-Rama & Amador Durán-Sánchez, 2021. "Scientific Mapping on the Impact of Climate Change on Cultural and Natural Heritage: A Systematic Scientometric Analysis," Land, MDPI, vol. 10(1), pages 1-19, January.
    12. Guo Chen & Lu Xiao & Chang-ping Hu & Xue-qin Zhao, 2015. "Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 707-724, May.
    13. 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.
    14. Manuel Castriotta & Michela Loi & Elona Marku & Ludovica Moi, 2021. "Disentangling the corporate entrepreneurship construct: conceptualizing through co-words," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2821-2863, April.
    15. 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.
    16. Pin Li & Guoli Yang & Chuanqi Wang, 2019. "Visual topical analysis of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1753-1791, December.
    17. Rui Yang & Guoming Du & Ziwei Duan & Mengjin Du & Xin Miao & Yanhong Tang, 2020. "Knowledge System Analysis on Emergency Management of Public Health Emergencies," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    18. Ping Liu & Qiong Wu & Xiangming Mu & Kaipeng Yu & Yiting Guo, 2015. "Detecting the intellectual structure of library and information science based on formal concept analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 737-762, September.
    19. Wen-Lung Shiau & Yogesh K. Dwivedi & Chia-Han Tsai, 2015. "Supply chain management: exploring the intellectual structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 215-230, October.
    20. 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.

    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:109:y:2016:i:3:d:10.1007_s11192-016-2146-4. 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.