A Dynamic Model of Segregation in Small-World Networks

Giorgio Fagiolo (), Marco Valente and Nicolaas Vriend

A chapter in Networks, Topology and Dynamics, 2009, pp 111-126 from Springer

Abstract: Schelling [19–22] considered a simple model with individual agents who only care about the types of people living in their own local neighborhood. The spatial structure was represented by a one- or two-dimensional lattice. Schelling showed that an integrated society will generally unravel into a rather segregated one even though no individual agent strictly prefers this. We make some steps to generalize the spatial proximity model to a proximity model of segregation. That is, we examine models with individual agents who interact “locally” in a range of network structures with topological properties that are different from those of regular lattices. Assuming mild preferences about with whom they interact, we study best-response dynamics in random and regular non-directed graphs as well as in small-world and scale-free networks. Our main result is that the system attains levels of segregation that are in line with those reached in the lattice-based spatial proximity model. That is, Schelling's original results seem to be robust to the structural properties of the network. In other words, mild proximity preferences coupled with adjustment dynamics can explain segregation not just in regular spatial networks but also in more general social networks.

Keywords: Monte Carlo; Random Graph; Average Degree; Small World; Average Path Length (search for similar items in EconPapers)
Date: 2009
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Working Paper: Dynamic Models of Segregation in Small-World Networks (2007)
Working Paper: Dynamic Models of Segregation in Small-World Networks (2007)
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DOI: 10.1007/978-3-540-68409-1_5

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