Longitudinal network analysis reveals visible attributes drive tie creation rather than persistence in school networks, suggesting homophily depends on information visibility.
Why do some social ties endure while others dissolve? Homophily research typically treats similarity as a single mechanism, conflating processes of tie formation and persistence. I develop a framework based on attribute observability, distinguishing between observable characteristics that guide formation under uncertainty and interaction-revealed attributes that shape tie retention. Using three-wave longitudinal friendship network data and Stochastic Actor-Oriented Models, I decompose homophily into creation and endowment effects across 28 grade networks. Observable attributes (gender, ethnicity) show strong formation effects but little persistence advantage. Interaction-revealed attributes show weaker and less precise patterns. These findings demonstrate that homophily is an information-conditional process and that standard models obscure its underlying mechanisms.
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Thomas Grund (2026) studied this question.
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