ArticleSocial networks2026
A Hybrid Mixed Methods Design for Understanding Decision Making, Social Structure, and Network Dynamics of Life Course Transitions.
Article in Social networks, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Longitudinal research consistently finds life course transitions associated with changes in individual-level egonetworks, but the interplay of agency and structure underlying these network dynamics largely remains elusive. In this study, we present a hybrid mixed methods research design that brings to the forefront decision making within the structural opportunities and constraints associated with life course transitions and network change. We combine longitudinal data on existing, added, dissolved, and anticipated social network ties collected using Network Canvas with open-ended interview questions asking why specific relationships changed over time. We gather this data at more rapid intervals than typical to document and understand heightened network turnover seen during life course transitions. As an illustration, we present longitudinal egonetwork and interview data from two participants in a novel prison reentry program, demonstrating how our method elucidates the structural and cognitive processes accompanying network change during an important life course transition.
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