Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation modelBianchi, F., Flache, A. & Squazzoni, F., 1-Oct-2020, In : Journal of Mathematical Sociology. 44, 4, p. 249-266 18 p.
Research output: Contribution to journal › Article › Academic › peer-review
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.
|Number of pages||18|
|Journal||Journal of Mathematical Sociology|
|Early online date||12-Jan-2020|
|Publication status||Published - 1-Oct-2020|
- Solidarity, collaboration networks, competition, multiplex networks, agent-based model, stochastic actor-oriented model, SOCIAL NETWORKS, ORIENTED MODELS, EXCHANGE, TRUST, POWER, RISK, SATISFACTION, FRIENDSHIP, DYNAMICS, COHESION