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Scholar’s career switch adhesive with research topics: An evidence from China

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  • Ma, Yinghong
  • Song, Le
  • Ji, Zhaoxun
  • Wang, Qian
  • Yu, Qinglin

Abstract

Despite persistent efforts in untangling the mechanism of scientists switching between research topics, little is investigated for the relationship of scholars’ career stage switch leading to dynamics of research topics. In this paper, aiming to reveal career stage and its influence on research topics, we construct a two-layer network model, coauthors collaboration network (α-layer) for scholars research career stages and papers similarity network (β-layer) for research topic types, and analyze the relationship between the career stage switch and the topic type change. Applying the data set SMSEC from China to the model, the different statistics of the two layers show different forming mechanisms, the preference attachment and the rule of similarity inherited in the two layers, respectively. The coupling mechanism of the two layers is displayed by correlation of career stages and topic types, and presented by a framework with contributions of new added papers and associated scholars. The results show that the longer of research career is, the bigger contribution on the type of divided topics is; a scholar with large topic scopes would more likely insist in his/her research.

Suggested Citation

  • Ma, Yinghong & Song, Le & Ji, Zhaoxun & Wang, Qian & Yu, Qinglin, 2020. "Scholar’s career switch adhesive with research topics: An evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    • Handle: RePEc:eee:phsmap:v:557:y:2020:i:c:s037843712030501x
    DOI: 10.1016/j.physa.2020.124959
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    1. Gajewski, Ł.G. & Suchecki, K. & Hołyst, J.A., 2019. "Multiple propagation paths enhance locating the source of diffusion in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 34-41.
    2. An Zeng & Zhesi Shen & Jianlin Zhou & Ying Fan & Zengru Di & Yougui Wang & H. Eugene Stanley & Shlomo Havlin, 2019. "Increasing trend of scientists to switch between topics," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    3. Klavans, Richard & Boyack, Kevin W., 2017. "Research portfolio analysis and topic prominence," Journal of Informetrics, Elsevier, vol. 11(4), pages 1158-1174.
    4. Iina Hellsten & Renaud Lambiotte & Andrea Scharnhorst & Marcel Ausloos, 2007. "Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 469-486, September.
    5. 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.
    6. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    7. Tao Jia & Dashun Wang & Boleslaw K. Szymanski, 2017. "Quantifying patterns of research-interest evolution," Nature Human Behaviour, Nature, vol. 1(4), pages 1-7, April.
    8. 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.
    9. Chołoniewski, Jan & Sienkiewicz, Julian & Leban, Gregor & Hołyst, Janusz A., 2019. "Modeling of temporal fluctuation scaling in online news network with independent cascade model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 129-144.
    10. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    11. 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.
    12. Belkhouja, Mustapha & Yoon, Hyungseok (David), 2018. "How does openness influence the impact of a scholar’s research? An analysis of business scholars’ citations over their careers," Research Policy, Elsevier, vol. 47(10), pages 2037-2047.
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