Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/46933 |
Resumo: | Scientific cooperation is one the most important issues to improve the research quality. A multidisciplinary scientific group connection among different knowledge areas (e.g., engineering, mathematics, sports, sociology and others) can be a potential factor to build skilled manpower necessary for strong scientific research. Therefore, based on a case study from RoboCorp, a multidisciplinary group with researchers from several scientific fields, this paper presents the scientific cooperation between researchers through networking graph theory. These networks are addressed to answer a broad variety of questions about collaboration patterns, such as the number of papers authors write, with how many researchers they write and how researchers “connect” to make papers in specific areas. First, a weighted adjacency matrix is built based on papers published in accordance with international standards (e.g., ISBN, ISSN), in which it is possible to perceive the connectivity among researchers. Secondly, an easy-to-use MatLab script was developed to compute the data, thus presenting the scientific networks. Afterwards, in order to further study the subcommunities inside the research group, a graph partition methodology was used to divide the graph into clusters. Moreover, several network concepts were used to evaluate the intra and inter-researchers performances as well as the collective performance of the whole group. Results showed that the research group is integrally connected when considering all published papers. However, dividing the networks by scientific areas, one can observe that some researchers ‘loses’ their connectivity, i.e., some authors only publishes on specific scientific categories or with specific researchers within the group. |
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Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case studyCoauthorship NetworksGraph TheoryResearchers connectivityCollective EvaluationScientific cooperation is one the most important issues to improve the research quality. A multidisciplinary scientific group connection among different knowledge areas (e.g., engineering, mathematics, sports, sociology and others) can be a potential factor to build skilled manpower necessary for strong scientific research. Therefore, based on a case study from RoboCorp, a multidisciplinary group with researchers from several scientific fields, this paper presents the scientific cooperation between researchers through networking graph theory. These networks are addressed to answer a broad variety of questions about collaboration patterns, such as the number of papers authors write, with how many researchers they write and how researchers “connect” to make papers in specific areas. First, a weighted adjacency matrix is built based on papers published in accordance with international standards (e.g., ISBN, ISSN), in which it is possible to perceive the connectivity among researchers. Secondly, an easy-to-use MatLab script was developed to compute the data, thus presenting the scientific networks. Afterwards, in order to further study the subcommunities inside the research group, a graph partition methodology was used to divide the graph into clusters. Moreover, several network concepts were used to evaluate the intra and inter-researchers performances as well as the collective performance of the whole group. Results showed that the research group is integrally connected when considering all published papers. However, dividing the networks by scientific areas, one can observe that some researchers ‘loses’ their connectivity, i.e., some authors only publishes on specific scientific categories or with specific researchers within the group.[Arabian Gulf University]Repositório ComumCouceiro, MicaelManuel Clemente, FilipeM. L. Martins, Fernando2023-10-02T11:24:28Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/46933enginfo: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:RCAAP2023-10-05T02:16:24Zoai:comum.rcaap.pt:10400.26/46933Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:33:21.293595Repositório 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 |
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
title |
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
spellingShingle |
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study Couceiro, Micael Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
title_short |
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
title_full |
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
title_fullStr |
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
title_full_unstemmed |
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
title_sort |
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
author |
Couceiro, Micael |
author_facet |
Couceiro, Micael Manuel Clemente, Filipe M. L. Martins, Fernando |
author_role |
author |
author2 |
Manuel Clemente, Filipe M. L. Martins, Fernando |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Couceiro, Micael Manuel Clemente, Filipe M. L. Martins, Fernando |
dc.subject.por.fl_str_mv |
Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
topic |
Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
description |
Scientific cooperation is one the most important issues to improve the research quality. A multidisciplinary scientific group connection among different knowledge areas (e.g., engineering, mathematics, sports, sociology and others) can be a potential factor to build skilled manpower necessary for strong scientific research. Therefore, based on a case study from RoboCorp, a multidisciplinary group with researchers from several scientific fields, this paper presents the scientific cooperation between researchers through networking graph theory. These networks are addressed to answer a broad variety of questions about collaboration patterns, such as the number of papers authors write, with how many researchers they write and how researchers “connect” to make papers in specific areas. First, a weighted adjacency matrix is built based on papers published in accordance with international standards (e.g., ISBN, ISSN), in which it is possible to perceive the connectivity among researchers. Secondly, an easy-to-use MatLab script was developed to compute the data, thus presenting the scientific networks. Afterwards, in order to further study the subcommunities inside the research group, a graph partition methodology was used to divide the graph into clusters. Moreover, several network concepts were used to evaluate the intra and inter-researchers performances as well as the collective performance of the whole group. Results showed that the research group is integrally connected when considering all published papers. However, dividing the networks by scientific areas, one can observe that some researchers ‘loses’ their connectivity, i.e., some authors only publishes on specific scientific categories or with specific researchers within the group. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013 2013-01-01T00:00:00Z 2023-10-02T11:24:28Z |
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/10400.26/46933 |
url |
http://hdl.handle.net/10400.26/46933 |
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.publisher.none.fl_str_mv |
[Arabian Gulf University] |
publisher.none.fl_str_mv |
[Arabian Gulf University] |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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 |
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1799133598404575232 |