Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Turismo : Visão e Ação (Online) |
Texto Completo: | https://periodicos.univali.br/index.php/rtva/article/view/17001 |
Resumo: | The analysis of social networks (SNA) constitutes a major advance in tourism research by revealing the characteristics of established relationships, displaying their structures and properties. This work aims to characterize and analyze the cooperation network formed between owners of inns in Tiradentes-MG. In order to explore the context of the survey, the interviews were conducted with seven owners of inns. Subsequently, a questionnaire was submitted to the owners for a data collection. A network of cooperation was created through the ‘snow ball’ technique. Going forward SNA techniques were used, with the emphasis on descriptive metrics and by generating Exponential Random Graph Models (ERGM). Thus it was possible to characterize the cooperation network and analyze its properties. The network has 54 inns, with a low overall density, because there are only 4.7% of possible relationships. 17 central and 37 peripheral establishments were identified. In the central subgroup the density was 15.4% and in the peripheral subgroup only 2.6%. The observed cooperation network presented homophily by gender and origin of the owners. The results of ERGM modeling allowed probabilistic explanations in terms of shared attributes of owners, such as gender and origin. |
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Turismo : Visão e Ação (Online) |
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Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesisAnálise de redes sociais de meios de hospedagem de Tiradentes (MG): Perfil e evidências da gênese dos relacionamentosTourismSocial Network AnalysisCooperationTurismoAnálise de redes sociaisCooperaçãoThe analysis of social networks (SNA) constitutes a major advance in tourism research by revealing the characteristics of established relationships, displaying their structures and properties. This work aims to characterize and analyze the cooperation network formed between owners of inns in Tiradentes-MG. In order to explore the context of the survey, the interviews were conducted with seven owners of inns. Subsequently, a questionnaire was submitted to the owners for a data collection. A network of cooperation was created through the ‘snow ball’ technique. Going forward SNA techniques were used, with the emphasis on descriptive metrics and by generating Exponential Random Graph Models (ERGM). Thus it was possible to characterize the cooperation network and analyze its properties. The network has 54 inns, with a low overall density, because there are only 4.7% of possible relationships. 17 central and 37 peripheral establishments were identified. In the central subgroup the density was 15.4% and in the peripheral subgroup only 2.6%. The observed cooperation network presented homophily by gender and origin of the owners. The results of ERGM modeling allowed probabilistic explanations in terms of shared attributes of owners, such as gender and origin.A análise de redes sociais (ARS) constitui um grande avanço na pesquisa em turismo ao revelar as características das relações estabelecidas, apresentando suas estruturas e propriedades. Este trabalho objetivou caracterizar e analisar a rede de cooperação formada entre proprietários de pousadas em Tiradentes-MG. Com o objetivo de explorar o contexto da pesquisa, foram realizadas entrevistas junto a sete proprietários de pousadas. Posteriormente, para a coleta dos dados, foi aplicado um questionário aos proprietários. Por meio da técnica da “bola de neve” foi gerada a rede de cooperação. A partir disso, utilizou-se das técnicas da ARS, com ênfase nas métricas descritivas e pela modelagem de grafos aleatórios da família exponencial (ERGM - Exponential Random Graph Models). Com isso, foi possível caracterizar a rede de cooperação e analisar suas propriedades. A rede possui 54 pousadas, com uma densidade geral baixa, pois há apenas 4,7% de relações possíveis. Foram identificadas 17 pousadas centrais e 37 periféricas. No subgrupo central, a densidade foi de 15,4% e no subgrupo periférico, de apenas 2,6%. A rede de cooperação observada apresentou homofilia por gênero e por procedência dos proprietários. Os resultados da modelagem ERGM permitiram explicações probabilísticas em termos de atributos endógenos dos proprietários, como gênero e procedência.Universidade do Vale do Itajaí - UNIVALI / SC2020-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://periodicos.univali.br/index.php/rtva/article/view/1700110.14210/rtva.v22n3.p424-445Turismo: Visão e Ação; Vol. 22 No. 3 (2020): Setembro-Dezembro; 424-445Turismo: Visão e Ação; Vol. 22 Núm. 3 (2020): Setembro-Dezembro; 424-445Turismo: Visão e Ação; v. 22 n. 3 (2020): Setembro-Dezembro; 424-4451983-71511415-6393reponame:Turismo : Visão e Ação (Online)instname:Universidade do Vale do Itajaí (UNIVALI)instacron:UNIVALIporenghttps://periodicos.univali.br/index.php/rtva/article/view/17001/9631https://periodicos.univali.br/index.php/rtva/article/view/17001/9632Copyright (c) 2020 Turismo - Visão e Açãoinfo:eu-repo/semantics/openAccessVasconcelos, Geraldo Magela Rodrigues DeMelo-Silva, GustavoMaia, Velcimiro Inácio2020-11-30T21:59:13Zoai:ojs.periodicos.univali.br:article/17001Revistahttps://periodicos.univali.br/index.php/rtvaPUBhttps://periodicos.univali.br/index.php/rtva/oailuiz.flores@univali.br || revistaturismo@univali.br1983-71511415-6393opendoar:2020-11-30T21:59:13Turismo : Visão e Ação (Online) - Universidade do Vale do Itajaí (UNIVALI)false |
dc.title.none.fl_str_mv |
Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis Análise de redes sociais de meios de hospedagem de Tiradentes (MG): Perfil e evidências da gênese dos relacionamentos |
title |
Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis |
spellingShingle |
Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis Vasconcelos, Geraldo Magela Rodrigues De Tourism Social Network Analysis Cooperation Turismo Análise de redes sociais Cooperação |
title_short |
Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis |
title_full |
Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis |
title_fullStr |
Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis |
title_full_unstemmed |
Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis |
title_sort |
Social network analysis of lodging establishments in Tiradentes (MG): Profile and evidence of relationships genesis |
author |
Vasconcelos, Geraldo Magela Rodrigues De |
author_facet |
Vasconcelos, Geraldo Magela Rodrigues De Melo-Silva, Gustavo Maia, Velcimiro Inácio |
author_role |
author |
author2 |
Melo-Silva, Gustavo Maia, Velcimiro Inácio |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Vasconcelos, Geraldo Magela Rodrigues De Melo-Silva, Gustavo Maia, Velcimiro Inácio |
dc.subject.por.fl_str_mv |
Tourism Social Network Analysis Cooperation Turismo Análise de redes sociais Cooperação |
topic |
Tourism Social Network Analysis Cooperation Turismo Análise de redes sociais Cooperação |
description |
The analysis of social networks (SNA) constitutes a major advance in tourism research by revealing the characteristics of established relationships, displaying their structures and properties. This work aims to characterize and analyze the cooperation network formed between owners of inns in Tiradentes-MG. In order to explore the context of the survey, the interviews were conducted with seven owners of inns. Subsequently, a questionnaire was submitted to the owners for a data collection. A network of cooperation was created through the ‘snow ball’ technique. Going forward SNA techniques were used, with the emphasis on descriptive metrics and by generating Exponential Random Graph Models (ERGM). Thus it was possible to characterize the cooperation network and analyze its properties. The network has 54 inns, with a low overall density, because there are only 4.7% of possible relationships. 17 central and 37 peripheral establishments were identified. In the central subgroup the density was 15.4% and in the peripheral subgroup only 2.6%. The observed cooperation network presented homophily by gender and origin of the owners. The results of ERGM modeling allowed probabilistic explanations in terms of shared attributes of owners, such as gender and origin. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-09 |
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.univali.br/index.php/rtva/article/view/17001 10.14210/rtva.v22n3.p424-445 |
url |
https://periodicos.univali.br/index.php/rtva/article/view/17001 |
identifier_str_mv |
10.14210/rtva.v22n3.p424-445 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://periodicos.univali.br/index.php/rtva/article/view/17001/9631 https://periodicos.univali.br/index.php/rtva/article/view/17001/9632 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Turismo - Visão e Ação info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Turismo - Visão e Ação |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade do Vale do Itajaí - UNIVALI / SC |
publisher.none.fl_str_mv |
Universidade do Vale do Itajaí - UNIVALI / SC |
dc.source.none.fl_str_mv |
Turismo: Visão e Ação; Vol. 22 No. 3 (2020): Setembro-Dezembro; 424-445 Turismo: Visão e Ação; Vol. 22 Núm. 3 (2020): Setembro-Dezembro; 424-445 Turismo: Visão e Ação; v. 22 n. 3 (2020): Setembro-Dezembro; 424-445 1983-7151 1415-6393 reponame:Turismo : Visão e Ação (Online) instname:Universidade do Vale do Itajaí (UNIVALI) instacron:UNIVALI |
instname_str |
Universidade do Vale do Itajaí (UNIVALI) |
instacron_str |
UNIVALI |
institution |
UNIVALI |
reponame_str |
Turismo : Visão e Ação (Online) |
collection |
Turismo : Visão e Ação (Online) |
repository.name.fl_str_mv |
Turismo : Visão e Ação (Online) - Universidade do Vale do Itajaí (UNIVALI) |
repository.mail.fl_str_mv |
luiz.flores@univali.br || revistaturismo@univali.br |
_version_ |
1798045022491246592 |