Using Social Network Analysis to Examine Dynamic Changes in Returnees’ Spanish grammar This interdisciplinary dissertation investigates the use of Personal Network Analysis developed in Sociology to elucidate how dynamic social interactions and disparate language exposure during forced migration affects language development and representation. Specifically, this dissertation concentrates on the experiences of diverse and vulnerable populations, especially Mexican American migrants subjected to deportation to Mexico following substantial periods of residence and formal education in the United States. The examination of the language patterns within this unique population provides invaluable insights into the extraordinary adaptability and dynamism of the human cognitive processes, considering the limited existing linguistic research on this community.