IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v89y2011i1d10.1007_s11192-011-0450-6.html
   My bibliography  Save this article

Shaping the interdisciplinary knowledge network of China: a network analysis based on citation data from 1981 to 2010

Author

Listed:
  • Chen Liu

    (University of Shanghai for Science and Technology)

  • Wei Shan

    (Beijing University of Aeronautics and Astronautics)

  • Jing Yu

    (East China Normal University)

Abstract

This study builds the interdisciplinary knowledge network of China, which is used to catch the knowledge exchange structure of disciplines, and investigates the evolution process from 1981 to 2010. A network analysis was performed to examine the special structure and we compare state of the networks in different periods to determine how the network has got such properties. The dataset are get from the reference relationship in literature on important Chinese academic journals from 1980 to 2010. The analytical results reveal the hidden network structure of interdisciplinary knowledge flows in China and demonstrate that the network is highly connected and has a homogeneous link structure and heterogeneous weight distribution. Through comparing of the network in three periods, that is 1981–1990, 1991–2000 and 2001–2010, we find that the special evolution process, which is limited by the number of nodes, play an important influence on interdisciplinary knowledge flows.

Suggested Citation

  • Chen Liu & Wei Shan & Jing Yu, 2011. "Shaping the interdisciplinary knowledge network of China: a network analysis based on citation data from 1981 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 89-106, October.
    • Handle: RePEc:spr:scient:v:89:y:2011:i:1:d:10.1007_s11192-011-0450-6
    DOI: 10.1007/s11192-011-0450-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-011-0450-6
    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/s11192-011-0450-6?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. Lee Fleming & Koen Frenken, 2007. "The Evolution Of Inventor Networks In The Silicon Valley And Boston Regions," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 53-71.
    2. S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
    3. Julie Thompson Klein, 2006. "Afterword: the emergent literature on interdisciplinary and transdisciplinary research evaluation," Research Evaluation, Oxford University Press, vol. 15(1), pages 75-80, April.
    4. Tomassini, Marco & Luthi, Leslie, 2007. "Empirical analysis of the evolution of a scientific collaboration network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 750-764.
    5. Guillermo Armando Ronda-Pupo & Luis Ángel Guerras-Martín, 2010. "Dynamics of the scientific community network within the strategic management field through the Strategic Management Journal 1980–2009: the role of cooperation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 821-848, December.
    6. Elise Bassecoulard & Alain Lelu & Michel Zitt, 2007. "Mapping nanosciences by citation flows: A preliminary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 859-880, March.
    7. Chang Hoon Yang & Han Woo Park & Jungeun Heo, 2010. "A network analysis of interdisciplinary research relationships: the Korean government’s R&D grant program," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 77-92, April.
    8. Olav Sorenson & Jan W. Rivkin & Lee Fleming, 2010. "Complexity, Networks and Knowledge Flows," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 15, Edward Elgar Publishing.
    9. Huutoniemi, Katri & Klein, Julie Thompson & Bruun, Henrik & Hukkinen, Janne, 2010. "Analyzing interdisciplinarity: Typology and indicators," Research Policy, Elsevier, vol. 39(1), pages 79-88, February.
    10. José Luis Ortega & Isidro F. Aguillo, 2010. "Shaping the European research collaboration in the 6th Framework Programme health thematic area through network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 377-386, October.
    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. Hyunseok Park & Janghyeok Yoon, 2014. "Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 853-890, February.
    2. Tang Yao & Yigang Wei & Jianhong Zhang & Yani Wang & Yunjiang Yu & Wenyang Huang, 2022. "What influences the urban sewage discharge in China? The effect of diversified factors on the urban sewage discharge in different regions of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6099-6135, May.
    3. Limei Zhao & Qingpu Zhang & Liang Wang, 2014. "Benefit distribution mechanism in the team members’ scientific research collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 363-389, August.
    4. Mao, Jin & Liang, Zhentao & Cao, Yujie & Li, Gang, 2020. "Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes," Journal of Informetrics, Elsevier, vol. 14(4).

    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. Melissa Haller & David L. Rigby, 2020. "The geographic evolution of optics technologies in the United States, 1976–2010," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1539-1559, December.
    2. Adriana Zaiț & Constantin Bratianu & Elena‐Mădălina Vătămănescu & Andreia Gabriela Andrei & Ioana Alexandra Horodnic, 2021. "Interdisciplinarity: A complexity approach towards academic research," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 294-306, May.
    3. Gergő Tóth & Sándor Juhász & Zoltán Elekes & Balázs Lengyel, 2021. "Repeated collaboration of inventors across European regions," European Planning Studies, Taylor & Francis Journals, vol. 29(12), pages 2252-2272, December.
    4. Francesco Giovanni Avallone & Alberto Quagli & Paola Ramassa, 2022. "Interdisciplinary research by accounting scholars: An exploratory study," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2022(2), pages 5-34.
    5. Costanza, Robert & Kubiszewski, Ida, 2012. "The authorship structure of “ecosystem services” as a transdisciplinary field of scholarship," Ecosystem Services, Elsevier, vol. 1(1), pages 16-25.
    6. Cian O’Donovan & Aleksandra (Ola) Michalec & Joshua R Moon, 2022. "Capabilities for transdisciplinary research," Research Evaluation, Oxford University Press, vol. 31(1), pages 145-158.
    7. Guang Yu & Ming-Yang Wang & Da-Ren Yu, 2010. "Characterizing knowledge diffusion of Nanoscience & Nanotechnology by citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 81-97, July.
    8. Carlo Gianelle, 2011. "Exploring the complex structure of labour mobility networks. Evidence from Veneto microdata," Working Papers 2011_13, Department of Economics, University of Venice "Ca' Foscari".
    9. Carr, Gemma & Loucks, Daniel P. & Blöschl, Günter, 2018. "Gaining insight into interdisciplinary research and education programmes: A framework for evaluation," Research Policy, Elsevier, vol. 47(1), pages 35-48.
    10. Xia Gao & Jiancheng Guan & Ronald Rousseau, 2011. "Mapping collaborative knowledge production in China using patent co-inventorships," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 343-362, August.
    11. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    12. Lorenzo Cassi & Anne Plunket, 2015. "Research Collaboration in Co-inventor Networks: Combining Closure, Bridging and Proximities," Regional Studies, Taylor & Francis Journals, vol. 49(6), pages 936-954, June.
    13. Lorenzo Cassi & Anne Plunket, 2010. "The determinants of co-inventor tie formation: proximity and network dynamics," Papers in Evolutionary Economic Geography (PEEG) 1015, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2010.
    14. Oviedo-García, M. Ángeles, 2016. "Tourism research quality: Reviewing and assessing interdisciplinarity," Tourism Management, Elsevier, vol. 52(C), pages 586-592.
    15. Konno, Tomohiko, 2016. "Network effect of knowledge spillover: Scale-free networks stimulate R&D activities and accelerate economic growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 157-167.
    16. Bethany K Laursen & Nicole Motzer & Kelly J Anderson, 2022. "Pathways for assessing interdisciplinarity: A systematic review," Research Evaluation, Oxford University Press, vol. 31(3), pages 326-343.
    17. Jian Xu & Yi Bu & Ying Ding & Sinan Yang & Hongli Zhang & Chen Yu & Lin Sun, 2018. "Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 973-995, November.
    18. Rehák Štefan & Hudec Oto & Buček Milan, 2013. "Path dependency and path plasticity in emerging industries: Two cases from Slovakia," ZFW – Advances in Economic Geography, De Gruyter, vol. 57(1-2), pages 52-66, October.
    19. Boeker, Warren & Howard, Michael D. & Basu, Sandip & Sahaym, Arvin, 2021. "Interpersonal relationships, digital technologies, and innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 125(C), pages 495-507.
    20. Battke, Benedikt & Schmidt, Tobias S. & Stollenwerk, Stephan & Hoffmann, Volker H., 2016. "Internal or external spillovers—Which kind of knowledge is more likely to flow within or across technologies," Research Policy, Elsevier, vol. 45(1), pages 27-41.

    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:89:y:2011:i:1:d:10.1007_s11192-011-0450-6. 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.