IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v59y2004i2d10.1023_bscie.0000018528.59913.48.html
   My bibliography  Save this article

Tracing knowledge diffusion

Author

Listed:
  • Chaomei Chen

    (College of Information Science and Technology, Drexel University)

  • Diana Hicks

    (School of Public Policy, Georgia Institute of Technology)

Abstract

Knowledge diffusion is the adaptation of knowledge in a broad range of scientific and engineering research and development. Tracing knowledge diffusion between science and technology is a challenging issue due to the complexity of identifying emerging patterns in a diverse range of possible processes. In this article, we describe an approach that combines complex network theory, network visualization, and patent citation analysis in order to improve the means for the study of knowledge diffusion. In particular, we analyze patent citations in the field of tissue engineering. We emphasize that this is the beginning of a longer-term endeavor that aims to develop and deploy effective, progressive, and explanatory visualization techniques for us to capture the dynamics of the evolution of patent citation networks. The work has practical implications on resource allocation, strategic planning, and science policy.

Suggested Citation

  • Chaomei Chen & Diana Hicks, 2004. "Tracing knowledge diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 199-211, February.
    • Handle: RePEc:spr:scient:v:59:y:2004:i:2:d:10.1023_b:scie.0000018528.59913.48
    DOI: 10.1023/B:SCIE.0000018528.59913.48
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/B:SCIE.0000018528.59913.48
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/B:SCIE.0000018528.59913.48?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. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 2000. "Scale-free characteristics of random networks: the topology of the world-wide web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 69-77.
    2. Chaomei Chen & Timothy Cribbin & Robert Macredie & Sonali Morar, 2002. "Visualizing and tracking the growth of competing paradigms: Two case studies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(8), pages 678-689.
    3. Narin, Francis & Olivastro, Dominic, 1992. "Status report: Linkage between technology and science," Research Policy, Elsevier, vol. 21(3), pages 237-249, June.
    4. Hicks, Diana & Breitzman, Tony & Olivastro, Dominic & Hamilton, Kimberly, 2001. "The changing composition of innovative activity in the US -- a portrait based on patent analysis," Research Policy, Elsevier, vol. 30(4), pages 681-703, April.
    5. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    6. Ed Noyons, 2001. "Bibliometric mapping of science in a policy context," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(1), pages 83-98, January.
    7. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    8. Chaomei Chen & Jasna Kuljis, 2003. "The rising landscape: A visual exploration of superstring revolutions in physics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 435-446, March.
    Full references (including those not matched with items on IDEAS)

    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. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    2. Keld Laursen & Ammon Salter, 2005. "The fruits of intellectual production: economic and scientific specialisation among OECD countries," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 29(2), pages 289-308, March.
    3. Cassiman, Bruno & Veugelers, Reinhilde & Zuniga, Pluvia, 2009. "Diversity of science linkages and innovation performance: some empirical evidence from Flemish firms," Economics Discussion Papers 2009-30, Kiel Institute for the World Economy (IfW Kiel).
    4. R. J. W. Tussen & R. K. Buter & Th. N. van Leeuwen, 2000. "Technological Relevance of Science: An Assessment of Citation Linkages between Patents and Research Papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 389-412, February.
    5. Lee Branstetter & Kwon Hyeog Ug, 2004. "The Restructuring Of Japanese Research And Development: The Increasing Impact Of Science On Japanese R&D," Discussion papers 04021, Research Institute of Economy, Trade and Industry (RIETI).
    6. Chris W. Belter, 2013. "A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 629-644, May.
    7. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    8. Huang, Mu-Hsuan & Huang, Wei-Tzu & Chen, Dar-Zen, 2014. "Technological impact factor: An indicator to measure the impact of academic publications on practical innovation," Journal of Informetrics, Elsevier, vol. 8(1), pages 241-251.
    9. Julie Callaert & Maikel Pellens & Bart Looy, 2014. "Sources of inspiration? Making sense of scientific references in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1617-1629, March.
    10. Tijssen, Robert J. W., 2001. "Global and domestic utilization of industrial relevant science: patent citation analysis of science-technology interactions and knowledge flows," Research Policy, Elsevier, vol. 30(1), pages 35-54, January.
    11. Félix Moya-Anegón & Benjamín Vargas-Quesada & Victor Herrero-Solana & Zaida Chinchilla-Rodríguez & Elena Corera-Álvarez & Francisco J. Munoz-Fernández, 2004. "A new technique for building maps of large scientific domains based on the cocitation of classes and categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 129-145, September.
    12. Keld Laursen & Ammon Salter, 2003. "Searching Low and High What Types of Firms use Universities as a Source of Innovation?," DRUID Working Papers 03-16, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    13. Sung, Hui-Yun & Wang, Chun-Chieh & Huang, Mu-Hsuan & Chen, Dar-Zen, 2015. "Measuring science-based science linkage and non-science-based linkage of patents through non-patent references," Journal of Informetrics, Elsevier, vol. 9(3), pages 488-498.
    14. Jinyoung Kim & Sangjoon Lee & Gerald Marschke, 2014. "Impact of university scientists on innovations in nanotechnology," Chapters, in: Sanghoon Ahn & Bronwyn H. Hall & Keun Lee (ed.), Intellectual Property for Economic Development, chapter 6, pages 141-158, Edward Elgar Publishing.
    15. Ashish Arora & Sharon Belenzon & Lia Sheer, 2017. "Back to Basics: Why do Firms Invest in Research?," NBER Working Papers 23187, National Bureau of Economic Research, Inc.
    16. Diana Hicks, 2005. "The Four Literatures Of Social Sciences," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 1(1), pages 1-20.
    17. Pavitt, Keith, 1998. "The social shaping of the national science base," Research Policy, Elsevier, vol. 27(8), pages 793-805, December.
    18. Garza-González, E. & Posadas-Castillo, C. & López-Mancilla, D. & Soriano-Sánchez, A.G., 2020. "Increasing synchronizability in a scale-free network via edge elimination," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 174(C), pages 233-243.
    19. Gerald Marschke, 2006. "The influence of university research on industrial innovation," Proceedings, Federal Reserve Bank of Cleveland.
    20. Bonaccorsi, Andrea & Thoma, Grid, 2007. "Institutional complementarity and inventive performance in nano science and technology," Research Policy, Elsevier, vol. 36(6), pages 813-831, July.

    More about this item

    Statistics

    Access and download statistics

    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:59:y:2004:i:2:d:10.1023_b:scie.0000018528.59913.48. 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.