Webometrics and analysis of web mentions of the political parties with representation in Federal Senate
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Encontros Bibli |
Texto Completo: | https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p174 |
Resumo: | It presents the application of webometric technique between the connections into the web of the political parties with representation in the Federal Senate with aims to understand how each political party relates on the network. To that end, the methodology used was the quantitative method with the measurement of five indicators, in which the size of each political party's site and the search of two political parties were analyzed in a simple way, by Boolean operator and by website with Web mention. Among the results it was verified that all the political parties in study have connections in the web, that the search with Boolean operator filters more pages than a simple search. In relation to the size of the site, the PSDB is the one with the largest number of pages, as well as the one that most emits web mentions of the other political parties. Still in relation to the results, the Pearson’s coefficient Linear Correlation showed a very strong classification for the variables Size of the site confronted with received web Mentions and for simple Search confronted with Boolean Search. It is concluded that studies between information retrieval and webometric have correlation, as well as the connections of political parties |
id |
UFSC-29_b55081473fcdbca47a8d1ac47391bd21 |
---|---|
oai_identifier_str |
oai:periodicos.ufsc.br:article/54632 |
network_acronym_str |
UFSC-29 |
network_name_str |
Encontros Bibli |
repository_id_str |
|
spelling |
Webometrics and analysis of web mentions of the political parties with representation in Federal SenateWebometria e análise das menções web dos partidos políticos com representação no Senado FederalWebometriaMenção webPartidos PolíticosWebometricsWeb mentions Political PartiesIt presents the application of webometric technique between the connections into the web of the political parties with representation in the Federal Senate with aims to understand how each political party relates on the network. To that end, the methodology used was the quantitative method with the measurement of five indicators, in which the size of each political party's site and the search of two political parties were analyzed in a simple way, by Boolean operator and by website with Web mention. Among the results it was verified that all the political parties in study have connections in the web, that the search with Boolean operator filters more pages than a simple search. In relation to the size of the site, the PSDB is the one with the largest number of pages, as well as the one that most emits web mentions of the other political parties. Still in relation to the results, the Pearson’s coefficient Linear Correlation showed a very strong classification for the variables Size of the site confronted with received web Mentions and for simple Search confronted with Boolean Search. It is concluded that studies between information retrieval and webometric have correlation, as well as the connections of political partiesApresenta a aplicação de técnica webométrica entre as conexões na web dos partidos políticos com representação no Senado Federal com o intuito de entender como se relaciona cada partido político na rede. Para tanto, a metodologia utilizada teve como abordagem o método quantitativo com a mensuração de cinco indicadores, no qual foram analisados o tamanho de site de cada partido político e a busca intercalada de dois partidos políticos de forma simples, por operador Booleano e por website com menção web. Entre os resultados verificou que todos os partidos políticos em estudo possuem conexões na web, que a busca com operador Booleano filtra mais páginas que uma busca simples. Em relação ao tamanho de site o PSDB é o que tem o maior número de páginas, assim como o que mais emite menções web dos demais partidos políticos. Ainda em relação aos resultados o coeficiente de Correlação Linear de Pearson apontou uma classificação muito forte para as variáveis Tamanho de site confrontada com Menções web recebidas e para Busca simples confrontada com Busca Booleana. Conclui-se que estudos entre recuperação da informação e webometria possuem correlação, assim como as conexões dos partidos políticos.Departamento de Ciência da Informação – UFSC2018-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p17410.5007/1518-2924.2018v23n53p174Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; Vol. 23 No. 53 (2018): Data de publicação: 06/09/2018; 174-183Encontros Bibli: revista electrónica de bibliotecología y ciencias de la información.; Vol. 23 Núm. 53 (2018): Data de publicação: 06/09/2018; 174-183Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 23 n. 53 (2018): Data de publicação: 06/09/2018; 174-1831518-2924reponame:Encontros Bibliinstname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCporhttps://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p174/37366https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p174/53686Copyright (c) 2018 Eduardo Silveira, Márcio Matiashttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilveira, EduardoMatias, Márcio2023-07-16T19:36:23Zoai:periodicos.ufsc.br:article/54632Revistahttps://periodicos.ufsc.br/index.php/eb/indexPUBhttps://periodicos.ufsc.br/index.php/eb/oaiencontrosbibli@contato.ufsc.br||portaldeperiodicos.bu@contato.ufsc.br1518-29241518-2924opendoar:2023-07-16T19:36:23Encontros Bibli - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Webometrics and analysis of web mentions of the political parties with representation in Federal Senate Webometria e análise das menções web dos partidos políticos com representação no Senado Federal |
title |
Webometrics and analysis of web mentions of the political parties with representation in Federal Senate |
spellingShingle |
Webometrics and analysis of web mentions of the political parties with representation in Federal Senate Silveira, Eduardo Webometria Menção web Partidos Políticos Webometrics Web mentions Political Parties |
title_short |
Webometrics and analysis of web mentions of the political parties with representation in Federal Senate |
title_full |
Webometrics and analysis of web mentions of the political parties with representation in Federal Senate |
title_fullStr |
Webometrics and analysis of web mentions of the political parties with representation in Federal Senate |
title_full_unstemmed |
Webometrics and analysis of web mentions of the political parties with representation in Federal Senate |
title_sort |
Webometrics and analysis of web mentions of the political parties with representation in Federal Senate |
author |
Silveira, Eduardo |
author_facet |
Silveira, Eduardo Matias, Márcio |
author_role |
author |
author2 |
Matias, Márcio |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silveira, Eduardo Matias, Márcio |
dc.subject.por.fl_str_mv |
Webometria Menção web Partidos Políticos Webometrics Web mentions Political Parties |
topic |
Webometria Menção web Partidos Políticos Webometrics Web mentions Political Parties |
description |
It presents the application of webometric technique between the connections into the web of the political parties with representation in the Federal Senate with aims to understand how each political party relates on the network. To that end, the methodology used was the quantitative method with the measurement of five indicators, in which the size of each political party's site and the search of two political parties were analyzed in a simple way, by Boolean operator and by website with Web mention. Among the results it was verified that all the political parties in study have connections in the web, that the search with Boolean operator filters more pages than a simple search. In relation to the size of the site, the PSDB is the one with the largest number of pages, as well as the one that most emits web mentions of the other political parties. Still in relation to the results, the Pearson’s coefficient Linear Correlation showed a very strong classification for the variables Size of the site confronted with received web Mentions and for simple Search confronted with Boolean Search. It is concluded that studies between information retrieval and webometric have correlation, as well as the connections of political parties |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-06 |
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://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p174 10.5007/1518-2924.2018v23n53p174 |
url |
https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p174 |
identifier_str_mv |
10.5007/1518-2924.2018v23n53p174 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p174/37366 https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p174/53686 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Eduardo Silveira, Márcio Matias https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Eduardo Silveira, Márcio Matias https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Departamento de Ciência da Informação – UFSC |
publisher.none.fl_str_mv |
Departamento de Ciência da Informação – UFSC |
dc.source.none.fl_str_mv |
Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; Vol. 23 No. 53 (2018): Data de publicação: 06/09/2018; 174-183 Encontros Bibli: revista electrónica de bibliotecología y ciencias de la información.; Vol. 23 Núm. 53 (2018): Data de publicação: 06/09/2018; 174-183 Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 23 n. 53 (2018): Data de publicação: 06/09/2018; 174-183 1518-2924 reponame:Encontros Bibli instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
instname_str |
Universidade Federal de Santa Catarina (UFSC) |
instacron_str |
UFSC |
institution |
UFSC |
reponame_str |
Encontros Bibli |
collection |
Encontros Bibli |
repository.name.fl_str_mv |
Encontros Bibli - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
encontrosbibli@contato.ufsc.br||portaldeperiodicos.bu@contato.ufsc.br |
_version_ |
1797067778172125184 |