Abstract
Many real, social, technological, biological and information systems can be described as complex networks. Nonetheless, few studies treat migration from this standpoint. Some migration studies focus on people, and some others on places. The former require very detailed data, while the latter are based on aggregate data. This study is based on places and uses aggregate data, taking flows as an observable and their resulting patterns are the object of study. Mexican censual events take place every ten years, the most recent on 2010, and it has been only until recently that there are enough capabilities and tools available to visualize and model internal migration to the municipal level. Few studies have focused on analyzing migratory movements of such detail, opting instead for the state level. Network analysis allows the identification of communities with a certain degree of spatial structure, that is, the importance that geographical proximity plays in migration.
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Caudillo-Cos, C., Tapia-McClung, R. (2014). Patterns of Internal Migration of Mexican Highly Qualified Population through Network Analysis. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8582. Springer, Cham. https://doi.org/10.1007/978-3-319-09147-1_13
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DOI: https://doi.org/10.1007/978-3-319-09147-1_13
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