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Network analysis of migration patterns in the United States

  • Travis Goldade
  • , Batyr Charyyev
  • , Mehmet Hadi Gunes

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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.

    Original languageEnglish
    Title of host publicationComplex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications)
    EditorsHocine Cherifi, Chantal Cherifi, Mirco Musolesi, Márton Karsai
    PublisherSpringer Verlag
    Pages770-783
    Number of pages14
    ISBN (Print)9783319721491
    DOIs
    StatePublished - 2018
    Event6th International Conference on Complex Networks and Their Applications, Complex Networks 2017 - Lyon, France
    Duration: Nov 29 2017Dec 1 2017

    Publication series

    NameStudies in Computational Intelligence
    Volume689

    Conference

    Conference6th International Conference on Complex Networks and Their Applications, Complex Networks 2017
    Country/TerritoryFrance
    CityLyon
    Period11/29/1712/1/17

    ASJC Scopus subject areas

    • Artificial Intelligence

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