Network analysis of migration patterns in the United States

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Abstract

United States (US) internal migration is a seldom studied and poorly understood topic that lies mainly within the realm of economics. This paper attempts to utilize complex network analysis to gain a better understanding of the migration patterns in the US, and how it evolves over the time. In particular, we analyze migration patterns in the US during differing times of the economic prosperity of the housing boom (i.e., 2004–2007) and the recession (i.e., 2008–2011) through complex network analyses. Additionally, we explore whether there is a correlation between the political affiliation of a county and the migration patterns.

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Goldade, T., Charyyev, B., & Gunes, M. H. (2018). Network analysis of migration patterns in the United States. In Studies in Computational Intelligence (Vol. 689, pp. 770–783). Springer Verlag. https://doi.org/10.1007/978-3-319-72150-7_62

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