Emergence of segregation in evolving social networks

DOI Web Site 2 Citations
  • Adam Douglas Henry
    Division of Public Administration, West Virginia University, Morgantown, WV 26506; and
  • Paweł Prałat
    Department of Mathematics, West Virginia University, Morgantown, WV 26506
  • Cun-Quan Zhang
    Department of Mathematics, West Virginia University, Morgantown, WV 26506

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<jats:p> In many social networks, there is a high correlation between the similarity of actors and the existence of relationships between them. This paper introduces a model of network evolution where actors are assumed to have a small aversion from being connected to others who are dissimilar to themselves, and yet no actor strictly prefers a segregated network. This model is motivated by Schelling’s [Schelling TC (1969) Models of segregation. <jats:italic>Am Econ Rev</jats:italic> 59:488–493] classic model of residential segregation, and we show that Schelling’s results also apply to the structure of networks; namely, segregated networks always emerge regardless of the level of aversion. In addition, we prove analytically that attribute similarity among connected network actors always reaches a stationary distribution, and this distribution is independent of network topology and the level of aversion bias. This research provides a basis for more complex models of social interaction that are driven in part by the underlying attributes of network actors and helps advance our understanding of why dysfunctional social network structures may emerge. </jats:p>

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