Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Information Science |
Texto Completo: | https://revistas.marilia.unesp.br/index.php/bjis/article/view/9250 |
Resumo: | The study of national academic characteristics is an imperative task for the understanding of national scientific production and the creation of effective science policy. Using a dataset of more than 3.2 million Brazilian curricula, we explore the academic community of PhDs working in Brazil in order to identify characteristics of the whole national network and in the knowledge area level. We used metrics from social network analysis and text mining techniques, as well as the patterns of collaboration between areas and the regional distribution of PhDs. The results show different general characteristics of the PhDs working in each Brazilian state and knowledge area, according to the social and economic characteristics of each of the five Brazilian regions. Different interaction profiles were described, like a less connected network in Linguistics, Letter, and Arts, in which each researcher is related, on average, to less than three other PhDs; on the opposite side, Agricultural Sciences each researcher is related, on average, to more than nine other PhDs of the network. It is clear that besides the capital and one or other major city, the Northeast Region is devoid of PhDs, a situation that is particularly problematic for the most destitute region of Brazil. |
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Brazilian Journal of Information Science |
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Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structureAcademic social networkscientific assessmentsocial network analysisLattes PlatformBrazilThe study of national academic characteristics is an imperative task for the understanding of national scientific production and the creation of effective science policy. Using a dataset of more than 3.2 million Brazilian curricula, we explore the academic community of PhDs working in Brazil in order to identify characteristics of the whole national network and in the knowledge area level. We used metrics from social network analysis and text mining techniques, as well as the patterns of collaboration between areas and the regional distribution of PhDs. The results show different general characteristics of the PhDs working in each Brazilian state and knowledge area, according to the social and economic characteristics of each of the five Brazilian regions. Different interaction profiles were described, like a less connected network in Linguistics, Letter, and Arts, in which each researcher is related, on average, to less than three other PhDs; on the opposite side, Agricultural Sciences each researcher is related, on average, to more than nine other PhDs of the network. It is clear that besides the capital and one or other major city, the Northeast Region is devoid of PhDs, a situation that is particularly problematic for the most destitute region of Brazil.Faculdade de Filosofia e Ciências2019-12-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/925010.36311/1981-1640.2019.v13n4.07.p113Brazilian Journal of Information Science: Research Trends; Vol. 13 No. 4 (2019); 113- 131Brazilian Journal of Information Science: Research Trends; Vol. 13 Núm. 4 (2019); 113- 131Brazilian Journal of Information Science: research trends; v. 13 n. 4 (2019); 113- 1311981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)instacron:UNESPenghttps://revistas.marilia.unesp.br/index.php/bjis/article/view/9250/6086Copyright (c) 2019 Luciano A. Digiampietri, Rogério Mugnaini, Caio Trucolo, Karina V. Delgado, Jesus P. Mena-Chalco, André Fontan Köhlerhttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessDigiampietri, Luciano A.Mugnaini, RogérioTrucolo, CaioDelgado, Karina V.Mena-Chalco, Jesus P.Köhler, André Fontan2022-06-20T17:26:03Zoai:ojs.revistas.marilia.unesp.br:article/9250Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2022-06-20T17:26:03Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)false |
dc.title.none.fl_str_mv |
Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure |
title |
Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure |
spellingShingle |
Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure Digiampietri, Luciano A. Academic social network scientific assessment social network analysis Lattes Platform Brazil |
title_short |
Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure |
title_full |
Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure |
title_fullStr |
Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure |
title_full_unstemmed |
Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure |
title_sort |
Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure |
author |
Digiampietri, Luciano A. |
author_facet |
Digiampietri, Luciano A. Mugnaini, Rogério Trucolo, Caio Delgado, Karina V. Mena-Chalco, Jesus P. Köhler, André Fontan |
author_role |
author |
author2 |
Mugnaini, Rogério Trucolo, Caio Delgado, Karina V. Mena-Chalco, Jesus P. Köhler, André Fontan |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Digiampietri, Luciano A. Mugnaini, Rogério Trucolo, Caio Delgado, Karina V. Mena-Chalco, Jesus P. Köhler, André Fontan |
dc.subject.por.fl_str_mv |
Academic social network scientific assessment social network analysis Lattes Platform Brazil |
topic |
Academic social network scientific assessment social network analysis Lattes Platform Brazil |
description |
The study of national academic characteristics is an imperative task for the understanding of national scientific production and the creation of effective science policy. Using a dataset of more than 3.2 million Brazilian curricula, we explore the academic community of PhDs working in Brazil in order to identify characteristics of the whole national network and in the knowledge area level. We used metrics from social network analysis and text mining techniques, as well as the patterns of collaboration between areas and the regional distribution of PhDs. The results show different general characteristics of the PhDs working in each Brazilian state and knowledge area, according to the social and economic characteristics of each of the five Brazilian regions. Different interaction profiles were described, like a less connected network in Linguistics, Letter, and Arts, in which each researcher is related, on average, to less than three other PhDs; on the opposite side, Agricultural Sciences each researcher is related, on average, to more than nine other PhDs of the network. It is clear that besides the capital and one or other major city, the Northeast Region is devoid of PhDs, a situation that is particularly problematic for the most destitute region of Brazil. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-17 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/9250 10.36311/1981-1640.2019.v13n4.07.p113 |
url |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/9250 |
identifier_str_mv |
10.36311/1981-1640.2019.v13n4.07.p113 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/9250/6086 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências |
publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências |
dc.source.none.fl_str_mv |
Brazilian Journal of Information Science: Research Trends; Vol. 13 No. 4 (2019); 113- 131 Brazilian Journal of Information Science: Research Trends; Vol. 13 Núm. 4 (2019); 113- 131 Brazilian Journal of Information Science: research trends; v. 13 n. 4 (2019); 113- 131 1981-1640 reponame:Brazilian Journal of Information Science instname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Brazilian Journal of Information Science |
collection |
Brazilian Journal of Information Science |
repository.name.fl_str_mv |
Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) |
repository.mail.fl_str_mv |
brajis.marilia@unesp.br|| |
_version_ |
1797069098836819968 |