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Uncovering inter-specialty knowledge communication using author citation networks

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  • Ruimin Ma

    (Shanxi University)

  • Erjia Yan

    (Drexel University)

Abstract

Knowledge communication plays a fundamental role in studies of science of science. This paper aims to examine inter-specialty communication patterns within a discipline using author citation networks. Two metrics are designed, including average knowledge flow and average shortest distance. They are used to identify the impact and diffusion characteristics of inter-specialty knowledge communication. We apply these metrics to an empirical data set of Chinese library and information science (CLIS) publications. We find that the two metrics portray different aspects of knowledge communication in CLIS and conclude that indirect paths, the size of specialties, and the communication structure among specialties may lead to the differences.

Suggested Citation

  • Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:2:d:10.1007_s11192-016-2091-2
    DOI: 10.1007/s11192-016-2091-2
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    References listed on IDEAS

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    1. Adam Jaffe & Manuel Trajtenberg, 1999. "International Knowledge Flows: Evidence From Patent Citations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 105-136.
    2. Olle Persson, 2001. "All author citations versus first author citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 339-344, February.
    3. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.
    4. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    5. Loet Leydesdorff & Jin Bihui, 2005. "Mapping the Chinese Science Citation Database in terms of aggregated journal–journal citation relations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(14), pages 1469-1479, December.
    6. John Mingers & Loet Leydesdorff, 2015. "Identifying research fields within business and management: a journal cross-citation analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(8), pages 1370-1384, August.
    7. Loet Leydesdorff, 2006. "Can scientific journals be classified in terms of aggregated journal‐journal citation relations using the Journal Citation Reports?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(5), pages 601-613, March.
    8. Persson, Olle, 2010. "Identifying research themes with weighted direct citation links," Journal of Informetrics, Elsevier, vol. 4(3), pages 415-422.
    9. Howard D. White, 2003. "Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 423-434, March.
    10. Lutz Bornmann & Loet Leydesdorff, 2015. "Topical connections between the institutions within an organisation (institutional co-authorships, direct citation links and co-citations)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 455-463, January.
    11. Aditi Mehta & Marc Rysman & Tim Simcoe, 2010. "Identifying the age profile of patent citations: new estimates of knowledge diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1179-1204, November/.
    12. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    13. onder Nomaler & Bart Verspagen, 2008. "Knowledge Flows, Patent Citations and the Impact of Science on Technology," Economic Systems Research, Taylor & Francis Journals, vol. 20(4), pages 339-366.
    14. Alan L. Porter & Alex S. Cohen & J. David Roessner & Marty Perreault, 2007. "Measuring researcher interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 117-147, July.
    15. Loet Leydesdorff & Carole Probst, 2009. "The delineation of an interdisciplinary specialty in terms of a journal set: The case of communication studies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1709-1718, August.
    16. Howard D. White, 2001. "Authors as citers over time," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(2), pages 87-108.
    17. Naoki Shibata & Yuya Kajikawa & Yoshiyuki Takeda & Katsumori Matsushima, 2009. "Comparative study on methods of detecting research fronts using different types of citation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(3), pages 571-580, March.
    18. Manuel Trajtenberg & Adam B. Jaffe & Michael S. Fogarty, 2000. "Knowledge Spillovers and Patent Citations: Evidence from a Survey of Inventors," American Economic Review, American Economic Association, vol. 90(2), pages 215-218, May.
    19. Ming-yueh Tsay, 2015. "Knowledge flow out of the domain of information science: a bibliometric and citation analysis study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 487-502, January.
    20. Loet Leydesdorff & Ismael Rafols, 2009. "A global map of science based on the ISI subject categories," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 348-362, February.
    21. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    22. Diana Lucio-Arias & Loet Leydesdorff, 2007. "Knowledge emergence in scientific communication: from “fullerenes” to “nanotubes”," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 603-632, March.
    23. Loet Leydesdorff, 2004. "Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 159-180, June.
    24. Erjia Yan, 2014. "Finding knowledge paths among scientific disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2331-2347, November.
    25. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    26. Lambiotte, R. & Panzarasa, P., 2009. "Communities, knowledge creation, and information diffusion," Journal of Informetrics, Elsevier, vol. 3(3), pages 180-190.
    27. Jesper W. Schneider & Birger Larsen & Peter Ingwersen, 2009. "A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 103-130, July.
    28. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    29. Yang, Siluo & Wang, Feifei, 2015. "Visualizing information science: Author direct citation analysis in China and around the world," Journal of Informetrics, Elsevier, vol. 9(1), pages 208-225.
    30. Ajay Agrawal & Rebecca Henderson, 2002. "Putting Patents in Context: Exploring Knowledge Transfer from MIT," Management Science, INFORMS, vol. 48(1), pages 44-60, January.
    31. Thed van Leeuwen & Robert Tijssen, 2000. "Interdisciplinary dynamics of modern science: analysis of cross-disciplinary citation flows," Research Evaluation, Oxford University Press, vol. 9(3), pages 183-187, December.
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