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Bibliographic coupling and network analysis to assess knowledge coalescence in a research center environment

Author

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  • Jan Youtie
  • Luciano Kay
  • Julia Melkers

Abstract

Science is increasingly organized in large-scale science centers. Expectations are that center-based research should yield qualitatively different research than single-investigator-produced research, but demonstrating the particular effects of a center is challenging. The notion of 'centerness' is that science centers can yield findings that reflect conceptual collisions across disciplinary or geographic boundaries between a center's scientific members. Collaborative research commonly is assessed using co-authorships of scientific publications. Co-authorship measures can be conveniently and unobtrusively operationalized, yet they can yield indicators (especially for a small center) showing little change in collaboration in a center-context, while richer findings of collaboration are evidenced in observing other aspects of center members' behavior. This article puts forth the use of social network analysis and bibliographic coupling as measures of 'centerness' and presents their characteristics in the context of an National Science Foundation (NSF) science center. Bibliographic coupling is characterized as a measure of centerness over the time period of the establishment of an NSF-funded science center. We also examine changes in bibliographic coupling indicators alongside changes in co-authorship networks and a social network survey of center participants. Bibliographic coupling is shown to make a distinctive contribution to measurement of centerness, demonstrating increasing coupling from the pre-center and since-center periods. This increase in centerness as represented in bibliographic coupling does not dramatically change when self-citations are removed. Overall, results show this to be a useful and consistent measure of centerness and knowledge coalescence within the research center environment. Copyright The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press.

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  • Jan Youtie & Luciano Kay & Julia Melkers, 2013. "Bibliographic coupling and network analysis to assess knowledge coalescence in a research center environment," Research Evaluation, Oxford University Press, vol. 22(3), pages 145-156, March.
    • Handle: RePEc:oup:rseval:v:22:y:2013:i:3:p:145-156
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    File URL: http://hdl.handle.net/10.1093/reseval/rvt002
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    Citations

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    Cited by:

    1. Li, Munan & Porter, Alan L. & Suominen, Arho, 2018. "Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 285-296.
    2. Elizabeth M Ginexi & Grace Huang & Michael Steketee & Sophia Tsakraklides & Keith MacAllum & Julie Bromberg & Amanda Huffman & Douglas A Luke & Scott J Leischow & Janet M Okamoto & Todd Rogers, 2017. "Social network analysis of a scientist–practitioner research initiative established to facilitate science dissemination and implementation within states and communities," Research Evaluation, Oxford University Press, vol. 26(4), pages 316-325.
    3. Pedro López-Rubio & Norat Roig-Tierno & Francisco Mas-Verdú, 2022. "Assessing the Origins, Evolution and Prospects of National Innovation Systems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 161-184, March.
    4. Carter Bloch & Jesper W Schneider & Thomas Sinkjær, 2016. "Size, Accumulation and Performance for Research Grants: Examining the Role of Size for Centres of Excellence," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-17, February.
    5. Alan L. Porter & David J. Schoeneck & Jan Youtie & Gregg E. A. Solomon & Seokbeom Kwon & Stephen F. Carley, 2019. "Learning about learning: patterns of sharing of research knowledge among Education, Border, and Cognitive Science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1093-1117, March.
    6. Carla Mara Hilário & Maria Cláudia Cabrini Grácio & Daniel Martínez-Ávila & Dietmar Wolfram, 2023. "Authorship order as an indicator of similarity between article discourse and author citation identity in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5389-5410, October.
    7. Jan Youtie, 2014. "The use of citation speed to understand the effects of a multi-institutional science center," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 613-621, September.

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