Like strangers we trust: identity and generic affiliation networks

Area of Science:

• Sociology
• Social Psychology
• Network Analysis

Background:

• Sociological research confirms shared beliefs and attitudes stem from overlapping experiences in collective behavior.
• Prior studies often infer shared experiences from generic affiliations (e.g., union members) without direct individual connections.
• This research addresses the gap in understanding how generic affiliations contribute to identity and influence social dynamics.

Purpose of the Study:

• To challenge the inference of shared experience from generic affiliations in collective behavior research.
• To propose that generic affiliations form a network of overlapping roles contributing to individual identity.
• To investigate the role of generic affiliation networks in modeling trust and political partisanship.

Main Methods:

• Analysis of sociological research on collective behavior and shared attitudes.
• Theoretical argument on identity formation through networks of overlapping roles based on generic affiliations.
• Examination of findings related to trust and political partisanship in individuals with multiple affiliations.

Main Results:

• Generic affiliations significantly contribute to an individual's identity.
• Individuals sharing multiple affiliations exhibit similarities in socio-demographic dimensions and attitudes.
• The study highlights the importance of considering generic affiliation networks in social modeling.

Conclusions:

• Generic affiliations are crucial components of identity, extending beyond simple group membership.
• Relational approaches offer valuable insights into social life, but present unique challenges.
• Future research should incorporate network analysis of generic affiliations to better understand social phenomena.