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Predicting Regional Self-identification from Spatial Network Models.

Zack W Almquist1, Carter T Butts2

  • 1Department of Sociology, School of Statistics, and Minnesota Population Center, University of Minnesota, USA.

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Summary
This summary is machine-generated.

Individuals tend to identify with regions where their friends and family live, demonstrating how social networks influence personal identity. This study explores regional identification through social influence processes.

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Area of Science:

  • Social Sciences
  • Sociology
  • Social Psychology

Background:

  • Social life is structured hierarchically, from individual perceptions to large-scale social networks.
  • Individuals exist within micro- and macro-level social structures with diverse relationships.
  • Regional identification, such as being a "New Yorker," is a domain of self-identification.

Purpose of the Study:

  • To analyze the effects of social structure on micro-level outcomes, specifically regional identification.
  • To propose that regional self-identification results from an influence process based on the location of an individual's social alters (e.g., friends, kin).
  • To test competing mechanisms for regional identification using social network and social psychological literature.

Main Methods:

  • Review of social science literature on social networks and identification.
  • Examination of social psychological and cognitive literature on decision-making and heuristics.
  • Empirical testing of proposed mechanisms using collected data.

Main Results:

  • Individuals tend to identify with regions where a significant number of their alters reside.
  • Social influence from alters' locations is a key factor in regional self-identification.
  • Findings support the social network-based mechanism for regional identity formation.

Conclusions:

  • Regional identification is significantly influenced by the geographic distribution of an individual's social network.
  • The study contributes to understanding the interplay between social structure and individual identity.
  • Implications extend to broader social science theories on social networks and self-perception.