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Descripción
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| Agriculture workers in Senegal represent over 70% of its labor force. The seasonal nature of an agriculture-based economy implies the alternation of periods of higher and lower laboral activity, which triggers the seasonal migration of workers. We have been able to detect mobility patterns that seem to be associated to these phenomena. In particular, we have found an increase of the number of migrants throughout the country during the harvest season. In order to do that we have built a special kind of mobility networks that we call migration networks. In a migration network the nodes are locations that, depending on the scale, can correspond to cities, districts, regions, etc. By looking at the times and places from which a user makes her calls, we can infer the location that corresponds to her regular residence, as well as detect if she has changed her residence for a signiticant period of time; that is, if she has migrated, and where. This second location corresponds to her temporary residence. The links of the migration network are directed and traced from usual residence nodes to temporary residence nodes. This has enabled us to show the influence of the harvest season on the migration flows and study the impact of religious events on the trajectories networks. | |
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Internacional
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Si |
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Nombre congreso
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Ninth International Conference on Complex Systems (ICCS 2018) [https://necsi.edu/iccs-2018] |
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Tipo de participación
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960 |
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Lugar del congreso
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Cambridge (USA) |
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Revisores
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Si |
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ISBN o ISSN
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CDP08UPM |
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DOI
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Fecha inicio congreso
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22/07/2018 |
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Fecha fin congreso
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27/07/2018 |
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Desde la página
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1 |
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Hasta la página
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1 |
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Título de las actas
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Ninth International Conference on Complex Systems-ICCS 2018. Abstracts [https://necsi.edu/iccs-2018-abstracts] |