How do social network features shape segregation? Simulating the role of social networks for the emergence and persistence of spatial segregation
| Title: |
How do social network features shape segregation? Simulating the role of social networks for the emergence and persistence of spatial segregation |
| DNr: |
NAISS 2023/22-941 |
| Project Type: |
NAISS Small Compute |
| Principal Investigator: |
Laura Fursich <laura.fursich@liu.se> |
| Affiliation: |
Linköpings universitet |
| Duration: |
2023-11-08 – 2024-03-01 |
| Classification: |
50401 |
| Keywords: |
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Abstract
In this project, we use Agent-based models to understand the role of social networks in the emergence and persistence of residential segregation. Thus far, Agent-based models of segregation, like the Schelling model, have tended to overlook local social network structures -- ties between kin, friends, colleagues, and acquaintances -- that are known to influence patterns of mobility. These network ties have varying degrees of significance, longevity, and fragility. Some ties, like those of kinship, are narrow and mostly fixed, with strong mobility effects that may shift over the life-course. Other ties, like acquaintanceships, are more numerous, but also weak and transient.
With this paper, we generalize from existing empirical research, characterizing the role of varying network structures and accompanying social influence effects in the emergence and persistence of segregation. To do so, we implement a modified Schelling model, with super-local network propinquity preferences imposed on residential preferences. We then investigate how different network features affect levels of segregation. In particular, we test how patterns of segregation are affected by: (1) levels of sociability; (2) spatially dependent processes of tie formation and maintenance; and (3) the tolerance of agents to forming network ties across group boundaries. We consider how these different network features interact with each other and highlight the role of networks in the maintenance of segregation. In this part of the project, we plan on exploring the parameters space of different network features to understand phase transitions in the emergence and persistence of segregation.
