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Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective

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  • Li, Jing
  • Yu, Qian

Abstract

The convergence paradigm underlines the importance of integrating multiple disciplines through collaboration. However, the crucial question of how scientists' disciplinary characteristics influence scientific collaboration remains unresolved. Using an exponential random graph model for multilevel networks, this study provides insights into the impact of scientists' disciplinary characteristics on their collaborative behaviour based on data from the Materials Genome Initiative, a typical convergence field. These results show that: under the convergence paradigm, scientists with a greater number of affiliated disciplines or with greater disparities in knowledge systems among their affiliated disciplines are less active in collaboration, whereas scientists with more balanced competence across their affiliated disciplines are more active. Scientists are more likely to collaborate with people who have a similar ability to integrate multidisciplinary knowledge. Scientists with a focus on applied disciplines are more likely to collaborate than are those with a preference for basic disciplines. Scientists who focus more on peripheral and external disciplines are more active in collaboration than scientists who focus on core and internal disciplines. Scientists collaborate based on shared disciplines and utilise the unique disciplines of their collaborators to advance knowledge and thus expand their own research space. This study provides evidence for the selection of partners based on scientists' disciplinary characteristics and highlights its importance for interdisciplinary teams and project management.

Suggested Citation

  • Li, Jing & Yu, Qian, 2024. "Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective," Journal of Informetrics, Elsevier, vol. 18(1).
  • Handle: RePEc:eee:infome:v:18:y:2024:i:1:s175115772400004x
    DOI: 10.1016/j.joi.2024.101491
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    1. Elisa Bellotti & Luka Kronegger & Luigi Guadalupi, 2016. "The evolution of research collaboration within and across disciplines in Italian Academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 783-811, November.
    2. Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
    3. Timothy M. Waring & Sandra Hughes Goff & Julia McGuire & Z. Dylan Moore & Abigail Sullivan, 2014. "Cooperation across Organizational Boundaries: Experimental Evidence from a Major Sustainability Science Project," Sustainability, MDPI, vol. 6(3), pages 1-20, March.
    4. Guan, Jian Cheng & Yan, Yan, 2016. "Technological proximity and recombinative innovation in the alternative energy field," Research Policy, Elsevier, vol. 45(7), pages 1460-1473.
    5. Joel A. C. Baum & Robin Cowan & Nicolas Jonard, 2010. "Network-Independent Partner Selection and the Evolution of Innovation Networks," Management Science, INFORMS, vol. 56(11), pages 2094-2110, November.
    6. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    7. Hajdeja Iglič & Patrick Doreian & Luka Kronegger & Anuška Ferligoj, 2017. "With whom do researchers collaborate and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 153-174, July.
    8. Gustavo A. Schwartz, 2021. "Complex networks reveal emergent interdisciplinary knowledge in Wikipedia," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-6, December.
    9. Nooteboom, Bart, 1999. "Innovation, Learning and Industrial Organisation," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 23(2), pages 127-150, March.
    10. Zhu, Chen & Motohashi, Kazuyuki, 2022. "Identifying the technology convergence using patent text information: A graph convolutional networks (GCN)-based approach," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    11. Çilem Selin Hazir, 2013. "Multilateral R&D Collaboration: An ERGM Application on Biotechnology," Advances in Spatial Science, in: Thomas Scherngell (ed.), The Geography of Networks and R&D Collaborations, edition 127, chapter 0, pages 221-237, Springer.
    12. Yan Qi & Xin Zhang & Zhengyin Hu & Bin Xiang & Ran Zhang & Shu Fang, 2022. "Choosing the right collaboration partner for innovation: a framework based on topic analysis and link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5519-5550, September.
    13. Kevin W. Boyack & Richard Klavans & Katy Börner, 2005. "Mapping the backbone of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 351-374, August.
    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. Oliver, Amalya L., 2004. "Biotechnology entrepreneurial scientists and their collaborations," Research Policy, Elsevier, vol. 33(4), pages 583-597, May.
    16. van Rijnsoever, Frank J. & Hessels, Laurens K., 2011. "Factors associated with disciplinary and interdisciplinary research collaboration," Research Policy, Elsevier, vol. 40(3), pages 463-472, April.
    17. Harpreet Singh & David Kryscynski & Xinxin Li & Ram Gopal, 2016. "Pipes, pools, and filters: How collaboration networks affect innovative performance," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1649-1666, August.
    18. Qiang Cheng & Yanru Chang, 2020. "Influencing factors of knowledge collaboration effects in knowledge alliances," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 18(4), pages 380-393, October.
    19. Chenwei Zhang & Yi Bu & Ying Ding & Jian Xu, 2018. "Understanding scientific collaboration: Homophily, transitivity, and preferential attachment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(1), pages 72-86, January.
    20. Paul Raccuglia & Katherine C. Elbert & Philip D. F. Adler & Casey Falk & Malia B. Wenny & Aurelio Mollo & Matthias Zeller & Sorelle A. Friedler & Joshua Schrier & Alexander J. Norquist, 2016. "Machine-learning-assisted materials discovery using failed experiments," Nature, Nature, vol. 533(7601), pages 73-76, May.
    21. Fengli Xu & Lingfei Wu & James Evans, 2022. "Flat teams drive scientific innovation," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(23), pages 2200927119-, June.
    22. Shuaihua Lu & Qionghua Zhou & Yixin Ouyang & Yilv Guo & Qiang Li & Jinlan Wang, 2018. "Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    23. Yi Wang & Yuji Liu & Siwei Song & Zhijian Yang & Xiujuan Qi & Kangcai Wang & Yu Liu & Qinghua Zhang & Yong Tian, 2018. "Accelerating the discovery of insensitive high-energy-density materials by a materials genome approach," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    24. 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.
    25. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    26. Diane L. Rulke & Joseph Galaskiewicz, 2000. "Distribution of Knowledge, Group Network Structure, and Group Performance," Management Science, INFORMS, vol. 46(5), pages 612-625, May.
    27. Claudia Werker & Vladimir Korzinov & Scott Cunningham, 2019. "Formation and output of collaborations: the role of proximity in German nanotechnology," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 697-719, April.
    28. Yawar Abbas & Alberto Martinetti & Mohammad Rajabalinejad & Florian Schuberth & L. A. M. van Dongen, 2022. "Facilitating digital collaboration through knowledge management: a case study," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 20(6), pages 797-813, November.
    29. Liu, Meijun & Zhang, Ning & Hu, Xiao & Jaiswal, Ajay & Xu, Jian & Chen, Hong & Ding, Ying & Bu, Yi, 2022. "Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature," Journal of Informetrics, Elsevier, vol. 16(2).
    30. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    31. Janssen, Matthijs J. & Abbasiharofteh, Milad, 2022. "Boundary spanning R&D collaboration: Key enabling technologies and missions as alleviators of proximity effects?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 180.
    32. Pierre-Alexandre Balland, 2012. "Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 741-756, September.
    33. Miguel R. Guevara & Dominik Hartmann & Manuel Aristarán & Marcelo Mendoza & César A. Hidalgo, 2016. "The research space: using career paths to predict the evolution of the research output of individuals, institutions, and nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1695-1709, December.
    34. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
    35. Giovanni Abramo & Francesca Apponi & Ciriaco Andrea D’Angelo, 2022. "The geographic proximity effect on domestic cross-sector vis-à-vis intra-sector research collaborations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3505-3521, June.
    36. Chul Lee & Gunno Park & Jina Kang, 2018. "The impact of convergence between science and technology on innovation," The Journal of Technology Transfer, Springer, vol. 43(2), pages 522-544, April.
    37. Giovanni Abramo & Francesca Apponi & Ciriaco Andrea D'Angelo, 2022. "The geographic proximity effect on domestic cross-sector vis-a-vis intra-sector research collaborations," Papers 2202.10347, arXiv.org.
    38. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    39. Boh, Wai Fong & Evaristo, Roberto & Ouderkirk, Andrew, 2014. "Balancing breadth and depth of expertise for innovation: A 3M story," Research Policy, Elsevier, vol. 43(2), pages 349-366.
    40. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    41. Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2016. "A Model Of Dynamic Rewiring And Knowledge Exchange In R&D Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-23, February.
    42. Brennecke, Julia & Rank, Olaf, 2017. "The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study," Research Policy, Elsevier, vol. 46(4), pages 768-783.
    43. Melero, Eduardo & Palomeras, Neus, 2015. "The Renaissance Man is not dead! The role of generalists in teams of inventors," Research Policy, Elsevier, vol. 44(1), pages 154-167.
    44. Ming-Xing Li & Shao-Fan Zhao & Zhen Lu & Akihiko Hirata & Ping Wen & Hai-Yang Bai & MingWei Chen & Jan Schroers & YanHui Liu & Wei-Hua Wang, 2019. "High-temperature bulk metallic glasses developed by combinatorial methods," Nature, Nature, vol. 569(7754), pages 99-103, May.
    45. Alexander M. Petersen & Mohammed E. Ahmed & Ioannis Pavlidis, 2021. "Grand challenges and emergent modes of convergence science," Papers 2103.11547, arXiv.org.
    46. Meijun Liu & Yi Bu & Chongyan Chen & Jian Xu & Daifeng Li & Yan Leng & Richard B. Freeman & Eric T. Meyer & Wonjin Yoon & Mujeen Sung & Minbyul Jeong & Jinhyuk Lee & Jaewoo Kang & Chao Min & Min Song , 2022. "Pandemics are catalysts of scientific novelty: Evidence from COVID‐19," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1065-1078, August.
    47. Choong-Han Song, 2003. "Interdisciplinarity and knowledge inflow/outflow structure among science and engineering research in Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 129-141, September.
    48. Alexander M. Petersen & Mohammed E. Ahmed & Ioannis Pavlidis, 2021. "Grand challenges and emergent modes of convergence science," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    49. Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
    50. Jeeeun Kim & Sungjoo Lee, 2017. "Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 47-65, April.
    51. Jian Qin & F. W. Lancaster & Bryce Allen, 1997. "Types and levels of collaboration in interdisciplinary research in the sciences," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(10), pages 893-916, October.
    52. Jeremy P. Birnholtz, 2007. "When do researchers collaborate? Toward a model of collaboration propensity," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(14), pages 2226-2239, December.
    53. Janssen, Matthijs J. & Abbasiharofteh, Milad, 2022. "Boundary spanning R&D collaboration: Key enabling technologies and missions as alleviators of proximity effects?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
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