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The effect of structural holes on producing novel and disruptive research in physics

Author

Listed:
  • Yue Wang

    (Soochow University
    Xi’an Physical Education University)

  • Ning Li

    (Shanghai University of Sport)

  • Bin Zhang

    (Xi’an Physical Education University)

  • Qian Huang

    (Xi’an Physical Education University)

  • Jian Wu

    (Shanghai University of Sport)

  • Yang Wang

    (Xi’an Jiaotong University)

Abstract

As teams become prevalent in contemporary science, how to establish collaborations is key to tomorrow’s breakthrough, which has broad implications to individual scientists, institutions, and funding agencies. In this paper, we focus on the association between collaboration networks and scientists producing novel and disruptive research, based on the publication data from the American Physical Society. In particular, we focus on the role of spanning structural holes on producing novel and disruptive research. Our primary finding is that scientists whose collaboration networks span over structural holes in their collaboration networks not only produce more novel and disruptive research, but also have higher chance to produce novel and disruptive research. Although both male and female scientists benefit from structural holes, we find suggestive evidence that female researchers benefit more. This paper provides empirical evidence on the relationship between structural holes and novel/disruptive research in the field of physics, which has policy implications for nurturing scientists and developing science policies.

Suggested Citation

  • Yue Wang & Ning Li & Bin Zhang & Qian Huang & Jian Wu & Yang Wang, 2023. "The effect of structural holes on producing novel and disruptive research in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1801-1823, March.
  • Handle: RePEc:spr:scient:v:128:y:2023:i:3:d:10.1007_s11192-023-04635-3
    DOI: 10.1007/s11192-023-04635-3
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    References listed on IDEAS

    as
    1. 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.
    2. Ali Gazni & Fereshteh Didegah, 2011. "Investigating different types of research collaboration and citation impact: a case study of Harvard University’s publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 251-265, May.
    3. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    4. Leila Tahmooresnejad & Catherine Beaudry, 2018. "The importance of collaborative networks in Canadian scientific research," Industry and Innovation, Taylor & Francis Journals, vol. 25(10), pages 990-1029, November.
    5. Yian Yin & Yang Wang & James A. Evans & Dashun Wang, 2019. "Quantifying the dynamics of failure across science, startups and security," Nature, Nature, vol. 575(7781), pages 190-194, November.
    6. Simon Rodan & Charles Galunic, 2004. "More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness," Strategic Management Journal, Wiley Blackwell, vol. 25(6), pages 541-562, June.
    7. Lin, Yiling & Evans, James A. & Wu, Lingfei, 2022. "New directions in science emerge from disconnection and discord," Journal of Informetrics, Elsevier, vol. 16(1).
    8. Yang Yang & Tanya Y. Tian & Teresa K. Woodruff & Benjamin F. Jones & Brian Uzzi, 2022. "Gender-diverse teams produce more novel and higher-impact scientific ideas," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(36), pages 2200841119-, September.
    9. Gilsing, Victor & Nooteboom, Bart & Vanhaverbeke, Wim & Duysters, Geert & van den Oord, Ad, 2008. "Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density," Research Policy, Elsevier, vol. 37(10), pages 1717-1731, December.
    10. Aming Li & Lei Zhou & Qi Su & Sean P. Cornelius & Yang-Yu Liu & Long Wang & Simon A. Levin, 2020. "Evolution of cooperation on temporal networks," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    11. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
    12. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
    13. Russell J. Funk & Jason Owen-Smith, 2017. "A Dynamic Network Measure of Technological Change," Management Science, INFORMS, vol. 63(3), pages 791-817, March.
    14. Montgomery, James D, 1991. "Social Networks and Labor-Market Outcomes: Toward an Economic Analysis," American Economic Review, American Economic Association, vol. 81(5), pages 1407-1418, December.
    15. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    16. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    17. Thijs Bol & Mathijs de Vaan & Arnout van de Rijt, 2018. "The Matthew effect in science funding," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(19), pages 4887-4890, May.
    18. 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.
    19. Fontana, Magda & Iori, Martina & Montobbio, Fabio & Sinatra, Roberta, 2020. "New and atypical combinations: An assessment of novelty and interdisciplinarity," Research Policy, Elsevier, vol. 49(7).
    20. Lu Liu & Yang Wang & Roberta Sinatra & C. Lee Giles & Chaoming Song & Dashun Wang, 2018. "Hot streaks in artistic, cultural, and scientific careers," Nature, Nature, vol. 559(7714), pages 396-399, July.
    21. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    22. Shanwu Tian & Xiurui Xu & Ping Li, 2021. "Acknowledgement network and citation count: the moderating role of collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7837-7857, September.
    23. Alireza Abbasi & Liaquat Hossain & Shahadat Uddin & Kim J. R. Rasmussen, 2011. "Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 687-710, November.
    24. Junming Huang & Alexander J. Gates & Roberta Sinatra & Albert-László Barabási, 2020. "Historical comparison of gender inequality in scientific careers across countries and disciplines," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(9), pages 4609-4616, March.
    25. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    26. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    27. Gonzalez-Brambila, Claudia N. & Veloso, Francisco M. & Krackhardt, David, 2013. "The impact of network embeddedness on research output," Research Policy, Elsevier, vol. 42(9), pages 1555-1567.
    28. Jiancheng Guan & Lanxin Pang, 2018. "Bidirectional relationship between network position and knowledge creation in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 201-222, April.
    29. Pardeep Sud & Mike Thelwall, 2016. "Not all international collaboration is beneficial: The Mendeley readership and citation impact of biochemical research collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(8), pages 1849-1857, August.
    30. Takashi Iino & Hiroyasu Inoue & Yukiko U. Saito & Yasuyuki Todo, 2021. "How does the global network of research collaboration affect the quality of innovation?," The Japanese Economic Review, Springer, vol. 72(1), pages 5-48, January.
    31. Lutz Bornmann & Sitaram Devarakonda & Alexander Tekles & George Chacko, 2020. "Disruptive papers published in Scientometrics: meaningful results by using an improved variant of the disruption index originally proposed by Wu, Wang, and Evans (2019)," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1149-1155, May.
    32. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
    33. Seyed Reza Mirnezami & Catherine Beaudry & Leila Tahmooresnejad, 2020. "The effect of collaboration with top-funded scholars on scientific production," Science and Public Policy, Oxford University Press, vol. 47(2), pages 219-234.
    34. Abbasi, Alireza & Jaafari, Ali, 2013. "Research impact and scholars’ geographical diversity," Journal of Informetrics, Elsevier, vol. 7(3), pages 683-692.
    35. Wolfgang Glänzel & András Schubert, 2001. "Double effort = Double impact? A critical view at international co-authorship in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 199-214, February.
    36. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.
    37. Dongqing Lyu & Kaile Gong & Xuanmin Ruan & Ying Cheng & Jiang Li, 2021. "Does research collaboration influence the “disruption” of articles? Evidence from neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 287-303, January.
    38. Radhamany Sooryamoorthy, 2009. "Do types of collaboration change citation? Collaboration and citation patterns of South African science publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 177-193, October.
    39. An Zeng & Ying Fan & Zengru Di & Yougui Wang & Shlomo Havlin, 2021. "Fresh teams are associated with original and multidisciplinary research," Nature Human Behaviour, Nature, vol. 5(10), pages 1314-1322, October.
    40. Bornmann, Lutz & Tekles, Alexander, 2021. "Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts," Journal of Informetrics, Elsevier, vol. 15(3).
    41. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.
    42. Bedoor K. AlShebli & Talal Rahwan & Wei Lee Woon, 2018. "The preeminence of ethnic diversity in scientific collaboration," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    43. Yang Wang & Benjamin F. Jones & Dashun Wang, 2019. "Early-career setback and future career impact," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    44. Vincent Larivière & Yves Gingras & Cassidy R. Sugimoto & Andrew Tsou, 2015. "Team size matters: Collaboration and scientific impact since 1900," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1323-1332, July.
    45. Yang Yang & Tanya Y. Tian & Teresa K. Woodruff & Benjamin F. Jones & Brian Uzzi, 2022. "Gender-diverse teams produce more novel and higher-impact scientific ideas," Decision Analysis, INFORMS, vol. 119(36), pages 2200841119-, September.
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