Geographic and disciplinary distribution of the Brazilian's PHD community: patterns of the scientific collaboration structure

Detalhes bibliográficos
Autor(a) principal: Digiampietri, Luciano A.
Data de Publicação: 2019
Outros Autores: Mugnaini, Rogério, Trucolo, Caio, Delgado, Karina V., Mena-Chalco, Jesus P., Köhler, André Fontan
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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spelling 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||
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