Categorical closure: Transitivity and identities in longitudinal networks.

This research examines whether categorical closure – an increased tendency for closure in homogeneous triads – matters for tie formation and tie persistence. We utilized 2019–2020 panel data on students' networks at three law schools and employed separable temporal exponential random graph models to examine whether closed triads with shared identities were more likely to form and to persist over time. We also investigated whether closed triads based on shared organizational assignments were associated with lower likelihoods of tie formation and tie persistence over time. Results supported the notion that law students were more likely to form homogeneous closed triads based on shared categories, particularly family background, gender, and race, while closed triads based on organizational assignments were less likely. Closed triads tended to persist over time, but there was some support for the notion that homogeneous closed triads based on family background, college rank, and sexuality were more durable. This study highlights categorical closure as an additional network mechanism giving rise to homogenous groups. • This research examines whether categorical closure – an increased tendency for closure in homogeneous triads – matters for social networks. • This research utilizes longitudinal network data and separable temporal exponential random graph models to test for categorical closure. • Results supported the notion that law students were more likely to form homogeneous closed triads based on some shared categories. • This study highlights categorical closure as an additional network mechanism giving rise to homogenous groups. [ABSTRACT FROM AUTHOR]