Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions

Detalhes bibliográficos
Autor(a) principal: Brogueira, G.
Data de Publicação: 2016
Outros Autores: Batista, F., Carvalho, J. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/12799
Resumo: The information published by the millions of public social network users is an important source of knowledge that can be used in academic, socioeconomic or demographic studies (distribution of male and female population, age, marital status, birth), lifestyle analysis (interests, hobbies, social habits) or be used to study online behavior (time spent online, interaction with friends or discussion about brands, products or politics). This work uses a database of about 27 million Portuguese geolocated tweets, produced in Portugal by 97.8 K users during a 1-year period, to extract information about the behavior of the geolocated Portuguese Twitter community and show that with this information it is possible to extract overall indicators such as: the daily periods of increased activity per region; prediction of regions where the concentration of the population is higher or lower in certain periods of the year; how do regional habitants feel about life; or what is talked about in each region. We also analyze the behavior of the geolocated Portuguese Twitter users based on the tweeted contents, and find indications that their behavior differs in certain relevant aspect from other Twitter communities, hypothesizing that this is in part due to the abnormal high percentage of young teenagers in the community. Finally, we present a small case study on Portuguese tourism in the Algarve region. To the best of our knowledge, this work is the first study that shows geolocated Portuguese users' behavior in Twitter focusing on geographic regional use.
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spelling Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regionsTwitterGeolocated tweetsPortuguese tweetsPortuguese districtsTwitter data analysisThe information published by the millions of public social network users is an important source of knowledge that can be used in academic, socioeconomic or demographic studies (distribution of male and female population, age, marital status, birth), lifestyle analysis (interests, hobbies, social habits) or be used to study online behavior (time spent online, interaction with friends or discussion about brands, products or politics). This work uses a database of about 27 million Portuguese geolocated tweets, produced in Portugal by 97.8 K users during a 1-year period, to extract information about the behavior of the geolocated Portuguese Twitter community and show that with this information it is possible to extract overall indicators such as: the daily periods of increased activity per region; prediction of regions where the concentration of the population is higher or lower in certain periods of the year; how do regional habitants feel about life; or what is talked about in each region. We also analyze the behavior of the geolocated Portuguese Twitter users based on the tweeted contents, and find indications that their behavior differs in certain relevant aspect from other Twitter communities, hypothesizing that this is in part due to the abnormal high percentage of young teenagers in the community. Finally, we present a small case study on Portuguese tourism in the Algarve region. To the best of our knowledge, this work is the first study that shows geolocated Portuguese users' behavior in Twitter focusing on geographic regional use.Springer Vienna2017-04-06T11:25:26Z2016-01-01T00:00:00Z20162019-03-26T17:54:01Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/12799eng1869-545010.1007/s13278-016-0347-8Brogueira, G.Batista, F.Carvalho, J. P.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-07-07T03:35:07Zoai:repositorio.iscte-iul.pt:10071/12799Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-07-07T03:35:07Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
title Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
spellingShingle Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
Brogueira, G.
Twitter
Geolocated tweets
Portuguese tweets
Portuguese districts
Twitter data analysis
title_short Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
title_full Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
title_fullStr Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
title_full_unstemmed Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
title_sort Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
author Brogueira, G.
author_facet Brogueira, G.
Batista, F.
Carvalho, J. P.
author_role author
author2 Batista, F.
Carvalho, J. P.
author2_role author
author
dc.contributor.author.fl_str_mv Brogueira, G.
Batista, F.
Carvalho, J. P.
dc.subject.por.fl_str_mv Twitter
Geolocated tweets
Portuguese tweets
Portuguese districts
Twitter data analysis
topic Twitter
Geolocated tweets
Portuguese tweets
Portuguese districts
Twitter data analysis
description The information published by the millions of public social network users is an important source of knowledge that can be used in academic, socioeconomic or demographic studies (distribution of male and female population, age, marital status, birth), lifestyle analysis (interests, hobbies, social habits) or be used to study online behavior (time spent online, interaction with friends or discussion about brands, products or politics). This work uses a database of about 27 million Portuguese geolocated tweets, produced in Portugal by 97.8 K users during a 1-year period, to extract information about the behavior of the geolocated Portuguese Twitter community and show that with this information it is possible to extract overall indicators such as: the daily periods of increased activity per region; prediction of regions where the concentration of the population is higher or lower in certain periods of the year; how do regional habitants feel about life; or what is talked about in each region. We also analyze the behavior of the geolocated Portuguese Twitter users based on the tweeted contents, and find indications that their behavior differs in certain relevant aspect from other Twitter communities, hypothesizing that this is in part due to the abnormal high percentage of young teenagers in the community. Finally, we present a small case study on Portuguese tourism in the Algarve region. To the best of our knowledge, this work is the first study that shows geolocated Portuguese users' behavior in Twitter focusing on geographic regional use.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2017-04-06T11:25:26Z
2019-03-26T17:54:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/12799
url http://hdl.handle.net/10071/12799
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1869-5450
10.1007/s13278-016-0347-8
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Vienna
publisher.none.fl_str_mv Springer Vienna
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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