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Brazil Around the World: Characterizing and Detecting Brazilian Emigrants Using Google

Messias, Johnnatan ; Magno, Gabriel ; Benevenuto, Fabrício ; Veloso, Adriano ; Almeida, Virgílio

Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015, p.85-91

New York, NY, USA: ACM

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Título:
Brazil Around the World: Characterizing and Detecting Brazilian Emigrants Using Google
Autor: Messias, Johnnatan ; Magno, Gabriel ; Benevenuto, Fabrício ; Veloso, Adriano ; Almeida, Virgílio
Assuntos: Applied computing -- Document management and text processing -- Document preparation -- Multi -- mixed media creation ; brazilian emigration ; google ; Human-centered computing -- Human computer interaction (HCI) -- Interaction paradigms -- Hypertext -- hypermedia ; machine learning ; social media ; svm
É parte de: Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015, p.85-91
Descrição: Currently available data about people whose left their home country to live in a foreign country does not adequately capture the standards of contemporary global migration flows. A new trend for migration studies is to study the data from the Internet, either by Social Networks or other data in the WEB. In this study, we collected users data from the social network Google+ to investigate which features of Brazilian users are relevant to classify them as a possible emigrant. Our study uses machine learning techniques, SVM. We selected some features to compose our dataset. Our results show that the network features were the ones that had greater capacity for discrimination. The most relevant for the prediction of Brazilian emigrants users are, in order: reciprocity, PageRank, in-degree, clustering coefficient and ratio of incoming foreigners.
Editor: New York, NY, USA: ACM
Idioma: Inglês

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Brazil Around the World: Characterizing and Detecting Brazilian Emigrants Using Google

Messias, Johnnatan ; Magno, Gabriel ; Benevenuto, Fabrício ; Veloso, Adriano ; Almeida, Virgílio

New York, NY, USA: ACM

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