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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Acknowledgements
This material is based upon work in part supported by the National Science Foundation under grant number EPS- IIA-1301726.
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Goldade, T., Charyyev, B., Gunes, M.H. (2018). Network Analysis of Migration Patterns in the United States. In: Cherifi, C., Cherifi, H., Karsai, M., Musolesi, M. (eds) Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017. Studies in Computational Intelligence, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-72150-7_62
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DOI: https://doi.org/10.1007/978-3-319-72150-7_62
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