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Scholarly communication in developmental dyslexia: Influence of network structure on change in a hybrid problem area

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  • Claudia A. Perry
  • Ronald E. Rice

Abstract

Based on Mulkay's and Kuhn's models of change in scientific structure, a scientific communication model of the emergence of a hybrid research area was developed and tested in the field of developmental dyslexia. Data included co‐citation data on 74 dyslexia researchers at three points in time, who‐to‐whom communication network data, survey responses, resumes, association and biographical sources, online reference and citation databases, publications, grant databases, and telephone interviews. Researchers were partitioned into “blocks” of similar scientists on the basis of co‐citation and communication relations, compared on selected network‐level and individual‐level characteristics in order to validate block labels, and situated historically in the politics and advances surrounding the problem area. Results show support for Mulkay's model of branching instead of Kuhn's model of scientific revolution. Evidence points to divergence rather than convergence among the related research areas, but suggests the need for longitudinal follow‐up in order to rule out the impact of the inertia of aggregate co‐citation data. Implications for theory, methodology, and research are discussed. © 1998 John Wiley & Sons, Inc.

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  • Claudia A. Perry & Ronald E. Rice, 1998. "Scholarly communication in developmental dyslexia: Influence of network structure on change in a hybrid problem area," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(2), pages 151-168, February.
    • Handle: RePEc:bla:jamest:v:49:y:1998:i:2:p:151-168
    DOI: 10.1002/(SICI)1097-4571(199802)49:23.0.CO;2-V
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    1. Sabatier, Mareva & Chollet, Barthélemy, 2017. "Is there a first mover advantage in science? Pioneering behavior and scientific production in nanotechnology," Research Policy, Elsevier, vol. 46(2), pages 522-533.
    2. Prabhakaran, Thara & Lathabai, Hiran H. & Changat, Manoj, 2015. "Detection of paradigm shifts and emerging fields using scientific network: A case study of Information Technology for Engineering," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 124-145.
    3. Meen Chul Kim & Yoo Kyung Jeong & Min Song, 2014. "Investigating the integrated landscape of the intellectual topology of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 309-335, October.
    4. Yoshiyuki Takeda & Shiho Mae & Yuya Kajikawa & Katsumori Matsushima, 2009. "Nanobiotechnology as an emerging research domain from nanotechnology: A bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 23-38, July.
    5. Byungun Yoon & Sungjoo Lee & Gwanghee Lee, 2010. "Development and application of a keyword-based knowledge map for effective R&D planning," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 803-820, December.
    6. Béatrice Milard & Yoann Pitarch, 2023. "Egocentric cocitation networks and scientific papers destinies," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 415-433, April.
    7. Lathabai, Hiran H. & Prabhakaran, Thara & Changat, Manoj, 2015. "Centrality and Flow Vergence gradient based Path analysis of scientific literature: A case study of Biotechnology for Engineering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 157-168.

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