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It's who you know — unless you’re famous: professional networks and prestige in scholarly mobility

Author

Listed:
  • Alexandra Rottenkolber
  • Ola Ali
  • Gergely Mónus

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Jiaxuan Li
  • Jisu Kim

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Daniela Perrotta

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Aliakbar Akbaritabar

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

Mobility of researchers is a key driver of knowledge diffusion, innovation, and international collaboration. While prior research highlights the role of networks in shaping migration flows, the extent to which personal and institutional ties influence the direction of scientific mobility remains unclear. This study leverages large-scale digital trace data from Scopus, capturing complete mobility trajectories, co-authorship networks, and collaboration histories of 172,000 authors. Using multinomial logistic regressions and discrete choice modelling, we systematically assess the effects of first- and second-order co-authorship ties and institutional linkages on scholars’ mobility outcomes, focusing on their first career move. Our findings demonstrate that not only first-, but also second-order co-authorship ties — connections to a scholar’s collaborators’ collaborators — are a strong predictor for the direction of a move. Scholars with extensive individual professional networks, as well as those migrating abroad, are more likely to move along individual ties. In contrast, those from prestigious institutions, as well as those moving nationally, tend to follow institutional routes more often. Discrete choice models further confirm that both individual and institutional ties increase the probability of moving to specific research institutions, with individual connections being more influential than institutional ones. This research provides empirical evidence for the role that individual and institutional connections play in shaping high-skilled labour mobility. Furthermore, it has important implications for migration theory and policy, emphasising the need to support national and international collaborative networks, both individual and institutional, to foster scientific exchange.

Suggested Citation

  • Alexandra Rottenkolber & Ola Ali & Gergely Mónus & Jiaxuan Li & Jisu Kim & Daniela Perrotta & Aliakbar Akbaritabar, 2025. "It's who you know — unless you’re famous: professional networks and prestige in scholarly mobility," MPIDR Working Papers WP-2025-028, Max Planck Institute for Demographic Research, Rostock, Germany.
  • Handle: RePEc:dem:wpaper:wp-2025-028
    DOI: 10.4054/MPIDR-WP-2025-028
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    References listed on IDEAS

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    1. Aliakbar Akbaritabar & Andrés Felipe Castro Torres & Vincent Larivière, 2024. "A global perspective on social stratification in science," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    2. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Are Migrants More Productive Than Stayers? Some Evidence From A Set Of Highly Productive Academic Economists," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1308-1323, July.
    3. Leonardo Biazoli & Bruna Paula Fonseca & Mine Çetinkaya-Rundel & Eric Araújo & Izabela Regina Cardoso Oliveira, 2025. "International mobility boosts scientific careers: a synthetic control analysis of Brazilian researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(5), pages 3029-3051, May.
    4. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
    5. Elizabeth Bruch & Joffre Swait, 2019. "Choice Set Formation in Residential Mobility and Its Implications for Segregation Dynamics," Demography, Springer;Population Association of America (PAA), vol. 56(5), pages 1665-1692, October.
    6. Koen Jonkers & Robert Tijssen, 2008. "Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 309-333, November.
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    More about this item

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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