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Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation model

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  • Federico Bianchi
  • Andreas Flache
  • Flaminio Squazzoni

Abstract

This article examines the emergence of solidarity from interactions between professionals competing for collaboration. Research on multiplex collaboration networks has shown that economic exchange can elicit solidarity when mediated by trust but did not consider the effect of competition. To fill this gap, we built an agent-based model that simulates the evolution of a multiplex network of collaboration, trust, and support expectations. Simulations show that while resource heterogeneity is key for collaboration, competition for attractive collaboration partners penalizes low-resource professionals, who are less connected and highly segregated. Heterogeneous resource distribution can trigger segregation because of preferential selection of resourceful peers and reciprocity. Interestingly, we also found that low-resource professionals can reduce their marginalization by building in-group mutual support expectations.

Suggested Citation

  • Federico Bianchi & Andreas Flache & Flaminio Squazzoni, 2020. "Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation model," The Journal of Mathematical Sociology, Taylor & Francis Journals, vol. 44(4), pages 249-266, October.
  • Handle: RePEc:taf:gmasxx:v:44:y:2020:i:4:p:249-266
    DOI: 10.1080/0022250X.2019.1704284
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    Cited by:

    1. Christian Stummer & Lars Lüpke & Markus Günther, 2021. "Beaming market simulation to the future by combining agent-based modeling with scenario analysis," Journal of Business Economics, Springer, vol. 91(9), pages 1469-1497, November.
    2. Katinka den Nijs & Jose Edivaldo & Bas D. L. Châtel & Jeroen F. Uleman & Marcel Olde Rikkert & Heiman Wertheim & Rick Quax, 2022. "A Global Sharing Mechanism of Resources: Modeling a Crucial Step in the Fight against Pandemics," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    3. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

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