Title | ||
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Characterization Of Internal Migrant Behavior In The Immediate Post-Migration Period Using Cell Phone Traces |
Abstract | ||
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Internal migrations have been studied using two types of approaches: macro-level and micro-level analyses. Macro-level studies are typically carried out using a combination of various survey and census datasets to model large-scale behaviors, however these models fail to provide more nuanced information about the physical or social status of the migrants. Micro approaches, which successfully use interviews and diaries to provide a window into more individual behaviors, could benefit from methods to identify novel or under-studied behaviors that should be addressed in the migration research agenda. In this paper, we present a framework that uses information extracted from cell phone metadata to reveal internal migration behaviors that could guide or complement the research agenda of micro-level migration researchers working to understand the physical, social and psychological decision processes behind migration experiences. The proposed framework allows to carry out micro-level analyses of internal migration with a focus on immediate post-migration behaviors and the role of pre-migration activities from two perspectives: spatial behaviors and social ties. Ultimately, we expect our analyses to inform migration researchers of pre- and post-migration behaviors that would benefit from further qualitative analysis. |
Year | DOI | Venue |
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2019 | 10.1145/3287098.3287119 | PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES AND DEVELOPMENT (ICTD) |
Keywords | Field | DocType |
cell phone data, spatial dynamics, social relationships | Metadata,Social relationship,Internal migration,Computer science,Knowledge management,Phone,Decision process,Interpersonal ties,Social status | Conference |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lingzi Hong | 1 | 18 | 3.35 |
Jiahui Wu | 2 | 194 | 14.61 |
Enrique Frias-Martinez | 3 | 238 | 17.11 |
Andrés Villarreal | 4 | 0 | 0.34 |
Vanessa Frias-Martinez | 5 | 213 | 17.79 |