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2021 | OriginalPaper | Chapter

A Study on the Process of Migration to Training in Brazil: Analysis Based on Academic Education Data

Authors : Higor Alexandre Duarte Mascarenhas, Thiago Magela Rodrigues Dias, Patrícia Mascarenhas Dias

Published in: Data and Information in Online Environments

Publisher: Springer International Publishing

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Abstract

In recent years, a fact that stands out at the national level is the movement of individuals to other locations at some point in their lives. There are several causes that motivate these types of displacement, among them, one of the main reasons for training, especially at the level of academic training. Given this scenario, this work aims to carry out an analysis of how Brazilian academic mobility occurred, through data extracted from currencies and institutions registered in the Lattes Platform. Thus, extracted from the curricula of Brazilians, resulting in 308,317 records. From the extraction, the data was filtered, obtaining the following relevant research items, performed, treatment of the analysis items, removing irrelevant and incomplete terms and, subsequently, improving the data with information on the geographical location of each institution. At each level of education the entire group analyzed, from the place of birth to the individual’s current professional performance. Soon after, with the set of detected data, it was possible to carry out the monitoring in the measurements of the social networks, in which the networks were characterized considering the displacements between the places in the academic formation process used. As a result, an image of how the scientific formation process took place after a long process of capacitation was used, making it possible to measure the migratory flow of individuals and trends in the formation processes.

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Metadata
Title
A Study on the Process of Migration to Training in Brazil: Analysis Based on Academic Education Data
Authors
Higor Alexandre Duarte Mascarenhas
Thiago Magela Rodrigues Dias
Patrícia Mascarenhas Dias
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-77417-2_2

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