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Existing analytical frameworks often treat the group as the primary unit of analysis, overlooking the complexity of individual trajectories within these shifting structures. To address this gap, we introduce a unified, granular framework that shifts the unit of analysis from the group to the individual, formally representing their presence across multiple groups over time. Building on this formalization, we define a comprehensive set of individual-level and affiliation-level metrics to quantify the dynamics of participation. We validate the framework using three real-world datasets from distinct domains: online gaming (Travian) and professional sports (Football and NBA). The empirical results demonstrate the framework\u2019s flexibility and explanatory power, revealing generalizable structural regularities. This framework provides a robust quantitative tool for characterizing and predicting individual behavior within dynamic group systems.<\/jats:p>","DOI":"10.1007\/s41109-026-00774-7","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T06:04:42Z","timestamp":1770098682000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Individual dynamics in dynamic groups"],"prefix":"10.1007","volume":"11","author":[{"given":"Raji","family":"Ghawi","sequence":"first","affiliation":[]},{"given":"J\u00fcrgen","family":"Pfeffer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,3]]},"reference":[{"key":"774_CR1","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1037\/gdn0000109","volume":"23","author":"I Ahmed","year":"2019","unstructured":"Ahmed I, Poole M, Pilny A (2019) Stability of membership and persistence in teams: impacts on performance. 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