Publicação
Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study
| 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. |
|---|---|
| Autores principais: | Couceiro, Micael |
| Outros Autores: | Manuel Clemente, Filipe; M. L. Martins, Fernando |
| Assunto: | Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
| Ano: | 2013 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Coimbra |
| Idioma: | inglês |
| Origem: | Instituto Politécnico de Coimbra |
| _version_ | 1868800932237541376 |
|---|---|
| author | Couceiro, Micael |
| author2 | Manuel Clemente, Filipe M. L. Martins, Fernando |
| author2_role | author author |
| author_facet | Couceiro, Micael Manuel Clemente, Filipe M. L. Martins, Fernando |
| author_role | author |
| contributor_name_str_mv | Repositório Comum |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Couceiro, Micael\",\"Person.identifier.orcid\":\"0000-0001-6641-6090\"},{\"Person.name\":\"Manuel Clemente, Filipe\",\"Person.identifier.orcid\":\"0000-0001-9813-2842\"},{\"Person.name\":\"M. L. Martins, Fernando\",\"Person.identifier.orcid\":\"0000-0002-1812-2300\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Comum |
| datacite.creators.creator.creatorName.fl_str_mv | Couceiro, Micael Manuel Clemente, Filipe M. L. Martins, Fernando |
| datacite.date.Accepted.fl_str_mv | 2013-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-10-02T11:24:28Z |
| datacite.date.embargoed.fl_str_mv | 2023-10-02T11:24:28Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
| datacite.titles.title.fl_str_mv | Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
| dc.contributor.none.fl_str_mv | Repositório Comum |
| dc.creator.none.fl_str_mv | Couceiro, Micael Manuel Clemente, Filipe M. L. Martins, Fernando |
| dc.date.Accepted.fl_str_mv | 2013-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-10-02T11:24:28Z |
| dc.date.embargoed.fl_str_mv | 2023-10-02T11:24:28Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.26/46933 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | [Arabian Gulf University] |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
| dc.title.fl_str_mv | Toward the evaluation of research groups based on scientific co-authorship networks : the robocorp case study |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://comum.rcaap.pt/bitstreams/d8c3f27c-ad29-43cf-9841-f1c1f0085dac/download |
| id | ipc_e6e9da7ece82ac054d8bf6bce481e36d |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.26/46933 |
| instacron_str | ipc |
| institution | Instituto Politécnico de Coimbra |
| instname_str | Instituto Politécnico de Coimbra |
| language | eng |
| network_acronym_str | ipc |
| network_name_str | Instituto Politécnico de Coimbra |
| oai_identifier_str | oai:comum.rcaap.pt:10400.26/46933 |
| organization_str_mv | urn:organizationAcronym:ipc |
| person_str_mv | Couceiro, Micael Couceiro, Micael https://www.ciencia-id.pt/0B14-ED18-23C4 0B14-ED18-23C4 http://orcid.org/0000-0001-6641-6090 0000-0001-6641-6090 Manuel Clemente, Filipe Manuel Clemente, Filipe https://www.ciencia-id.pt/9E1A-F9DD-3EB8 9E1A-F9DD-3EB8 http://orcid.org/0000-0001-9813-2842 0000-0001-9813-2842 M. L. Martins, Fernando M. L. Martins, Fernando https://www.ciencia-id.pt/8512-5BB4-6DFD 8512-5BB4-6DFD http://orcid.org/0000-0002-1812-2300 0000-0002-1812-2300 |
| publishDate | 2013 |
| publisher.none.fl_str_mv | [Arabian Gulf University] |
| reponame_str | Instituto Politécnico de Coimbra |
| repository_id_str | urn:repositoryAcronym:ipc |
| service_str_mv | urn:repositoryAcronym:ipc |
| spelling | eng[Arabian Gulf University]pt_PTScientific 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.application/pdfpt_PTToward the evaluation of research groups based on scientific co-authorship networks : the robocorp case studyPersonalCouceiro, MicaelDSpacehttp://dspace.org/items/7a6f0912-3613-4713-a58f-4e64c7ebb293DSpacehttp://dspace.org/items/7a6f0912-3613-4713-a58f-4e64c7ebb293CouceiroMicaelCiência IDhttps://www.ciencia-id.pt0B14-ED18-23C4ORCIDhttp://orcid.org0000-0001-6641-6090Researcher IDhttps://www.researcherid.comG-4342-2010Scopus Author IDhttps://www.scopus.com35076901800PersonalManuel Clemente, FilipeDSpacehttp://dspace.org/items/ce2d6340-7fb1-449f-866d-4ff04d8503b4DSpacehttp://dspace.org/items/ce2d6340-7fb1-449f-866d-4ff04d8503b4ClementeFilipe ManuelCiência IDhttps://www.ciencia-id.pt9E1A-F9DD-3EB8ORCIDhttp://orcid.org0000-0001-9813-2842Researcher IDhttps://www.researcherid.comG-2625-2012Researcher IDhttps://www.researcherid.comG-2625-2012PersonalM. L. Martins, FernandoDSpacehttp://dspace.org/items/805fc13a-0e76-4f11-9d4c-0dc177f8145cDSpacehttp://dspace.org/items/805fc13a-0e76-4f11-9d4c-0dc177f8145cMartinsFernando Manuel LourençoCiência IDhttps://www.ciencia-id.pt8512-5BB4-6DFDORCIDhttp://orcid.org0000-0002-1812-2300Researcher IDhttps://www.researcherid.comAAK-6934-2020Scopus Author IDhttps://www.scopus.com57217191490HostingInstitutionOrganizationalRepositório Comume-mailmailto:comum@rcaap.ptcomum@rcaap.pt2023-10-02T11:24:28Z20132013-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.26/46933http://purl.org/coar/access_right/c_abf2open accessCoauthorship NetworksGraph TheoryResearchers connectivityCollective Evaluation493090 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://comum.rcaap.pt/bitstreams/d8c3f27c-ad29-43cf-9841-f1c1f0085dac/downloadArab Gulf Journal of Scientific Research3113662[Riyadh] |
| 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 |
| status | SINGLETON |
| subject.fl_str_mv | Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
| title | 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_short | 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 |
| topic | Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
| topic_facet | Coauthorship Networks Graph Theory Researchers connectivity Collective Evaluation |
| url | http://hdl.handle.net/10400.26/46933 |
| visible | 1 |