Identification of key research topics in 5G using co-word analysis

Detalhes bibliográficos
Autor(a) principal: Pereira, Pedro Miguel Teixeira
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/143471
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
id RCAP_887c11c23cec9bb0ec3061644c42458b
oai_identifier_str oai:run.unl.pt:10362/143471
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Identification of key research topics in 5G using co-word analysis5GCo-Word AnalysisStrategic DiagramBibliometricsVOSviewerProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe aim of this research is to better understand the field of 5G by analyzing the more than 10000 publications found in the Web of Science database. To achieve this, a co-word analysis was performed to identify research topics based on the author keywords and a strategic diagram was used to measure their level of maturity and relevance to the field. In total this analysis identified that all the articles can be grouped into seven topics, from which, two are mature but peripheral, one is both well developed and central to the field, and the rest are central, but underdeveloped. The value of this research, was the usage of a well-established technique that has been used in many fields, but never in the field of 5G which is growing in relevance.Damásio, Bruno Miguel PintoMendonça, Sandro Miguel FerreiraRUNPereira, Pedro Miguel Teixeira2022-09-05T14:16:09Z2022-07-122022-07-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/143471TID:203058941enginfo: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:RCAAP2024-03-11T05:21:48Zoai:run.unl.pt:10362/143471Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:57.217584Repositório 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 Identification of key research topics in 5G using co-word analysis
title Identification of key research topics in 5G using co-word analysis
spellingShingle Identification of key research topics in 5G using co-word analysis
Pereira, Pedro Miguel Teixeira
5G
Co-Word Analysis
Strategic Diagram
Bibliometrics
VOSviewer
title_short Identification of key research topics in 5G using co-word analysis
title_full Identification of key research topics in 5G using co-word analysis
title_fullStr Identification of key research topics in 5G using co-word analysis
title_full_unstemmed Identification of key research topics in 5G using co-word analysis
title_sort Identification of key research topics in 5G using co-word analysis
author Pereira, Pedro Miguel Teixeira
author_facet Pereira, Pedro Miguel Teixeira
author_role author
dc.contributor.none.fl_str_mv Damásio, Bruno Miguel Pinto
Mendonça, Sandro Miguel Ferreira
RUN
dc.contributor.author.fl_str_mv Pereira, Pedro Miguel Teixeira
dc.subject.por.fl_str_mv 5G
Co-Word Analysis
Strategic Diagram
Bibliometrics
VOSviewer
topic 5G
Co-Word Analysis
Strategic Diagram
Bibliometrics
VOSviewer
description Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-09-05T14:16:09Z
2022-07-12
2022-07-12T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/143471
TID:203058941
url http://hdl.handle.net/10362/143471
identifier_str_mv TID:203058941
dc.language.iso.fl_str_mv eng
language eng
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.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
_version_ 1799138104646303744