Blockmodeling of co-authorship networks in library and information science in Argentina: A case study
- Autores
- Chinchilla-Rodríguez, Zaida; Ferligoj, Anuska; Miguel, Sandra; Kronegger, Luka; Moya Anegón, Félix de
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- The paper introduces the use of blockmodeling in the micro-level exploration of the internal structure of coauthorship networks over time. Variations in scientific productivity and researcher or research group visibility were determined by observing authors' role in the core-periphery structure and crossing this information with bibliometric data. Three techniques were applied to represent the structure of collaborative science: (1) blockmodeling; (2) the Kamada-Kawai algorithm based on the similarities in co-authorships present in the documents analysed; (3) bibliometrics to determine output volume, impact and degree of collaboration from the bibliographic data drawn from publications. The results were examined to determine the extent to which the use of these two complementary approaches, in conjunction with bibliometric data, provides greater insight into the structure and characteristics of a given field of scientific endeavour. The paper describes certain features of Pajek software and how the application might be used to study research group composition, structure and dynamics. The approach involves combining bibliometric and social network analysis to explore scientific collaboration networks and monitor individual and group careers from new perspectives. The contributionof the paper is more on methodology than the conclusions drawn from the data. Its description of a small-scale case study is intended as an example for application and can be used in other disciplines. It may be very useful for the appraisal of scientific developments
Fil: Miguel, Sandra. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.
Fil: Chinchilla-Rodríguez, Zaida. Consejo Superior de Investigaciones Científicas. Centro de Ciencias Humanas y Sociales. Instituto de Políticas y Bienes Públicos. SCImago Research Group.
Fil: Ferligoj, Anuska. University of Ljubljana. Faculty of Social Sciences.
Fil: Moya Anegón, Félix de. Consejo Superior de Investigaciones Científicas. Centro de Ciencias Humanas y Sociales. Instituto de Políticas y Bienes Públicos. SCImago Research Group. - Fuente
- Scientometrics, 93(3), 699-717. (2012)
ISSN 1588-2861 - Materia
-
Bibliotecología y ciencia de la información
Bibliometría
Científicos
Publicaciones científicas
Scientific collaboration
Bibliometrics
Blockmodeling
Social network analysis - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación
- OAI Identificador
- oai:memoria.fahce.unlp.edu.ar:snrd:Jpr9279
Ver los metadatos del registro completo
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Blockmodeling of co-authorship networks in library and information science in Argentina: A case studyChinchilla-Rodríguez, ZaidaFerligoj, AnuskaMiguel, SandraKronegger, LukaMoya Anegón, Félix deBibliotecología y ciencia de la informaciónBibliometríaCientíficosPublicaciones científicasScientific collaborationBibliometricsBlockmodelingSocial network analysisThe paper introduces the use of blockmodeling in the micro-level exploration of the internal structure of coauthorship networks over time. Variations in scientific productivity and researcher or research group visibility were determined by observing authors' role in the core-periphery structure and crossing this information with bibliometric data. Three techniques were applied to represent the structure of collaborative science: (1) blockmodeling; (2) the Kamada-Kawai algorithm based on the similarities in co-authorships present in the documents analysed; (3) bibliometrics to determine output volume, impact and degree of collaboration from the bibliographic data drawn from publications. The results were examined to determine the extent to which the use of these two complementary approaches, in conjunction with bibliometric data, provides greater insight into the structure and characteristics of a given field of scientific endeavour. The paper describes certain features of Pajek software and how the application might be used to study research group composition, structure and dynamics. The approach involves combining bibliometric and social network analysis to explore scientific collaboration networks and monitor individual and group careers from new perspectives. The contributionof the paper is more on methodology than the conclusions drawn from the data. Its description of a small-scale case study is intended as an example for application and can be used in other disciplines. It may be very useful for the appraisal of scientific developmentsFil: Miguel, Sandra. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.Fil: Chinchilla-Rodríguez, Zaida. Consejo Superior de Investigaciones Científicas. Centro de Ciencias Humanas y Sociales. Instituto de Políticas y Bienes Públicos. SCImago Research Group.Fil: Ferligoj, Anuska. University of Ljubljana. Faculty of Social Sciences.Fil: Moya Anegón, Félix de. Consejo Superior de Investigaciones Científicas. Centro de Ciencias Humanas y Sociales. Instituto de Políticas y Bienes Públicos. SCImago Research Group.2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://www.memoria.fahce.unlp.edu.ar/art_revistas/pr.9279/pr.9279.pdfScientometrics, 93(3), 699-717. (2012)ISSN 1588-2861reponame:Memoria Académica (UNLP-FAHCE)instname:Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educacióninstacron:UNLPenginfo:eu-repo/semantics/altIdentifier/hdl/10915/88937info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/2025-09-29T11:53:36Zoai:memoria.fahce.unlp.edu.ar:snrd:Jpr9279Institucionalhttps://www.memoria.fahce.unlp.edu.ar/Universidad públicahttps://www.fahce.unlp.edu.ar/https://www.memoria.fahce.unlp.edu.ar/oaiserver.cgimemoria@fahce.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13412025-09-29 11:53:36.946Memoria Académica (UNLP-FAHCE) - Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educaciónfalse |
dc.title.none.fl_str_mv |
Blockmodeling of co-authorship networks in library and information science in Argentina: A case study |
title |
Blockmodeling of co-authorship networks in library and information science in Argentina: A case study |
spellingShingle |
Blockmodeling of co-authorship networks in library and information science in Argentina: A case study Chinchilla-Rodríguez, Zaida Bibliotecología y ciencia de la información Bibliometría Científicos Publicaciones científicas Scientific collaboration Bibliometrics Blockmodeling Social network analysis |
title_short |
Blockmodeling of co-authorship networks in library and information science in Argentina: A case study |
title_full |
Blockmodeling of co-authorship networks in library and information science in Argentina: A case study |
title_fullStr |
Blockmodeling of co-authorship networks in library and information science in Argentina: A case study |
title_full_unstemmed |
Blockmodeling of co-authorship networks in library and information science in Argentina: A case study |
title_sort |
Blockmodeling of co-authorship networks in library and information science in Argentina: A case study |
dc.creator.none.fl_str_mv |
Chinchilla-Rodríguez, Zaida Ferligoj, Anuska Miguel, Sandra Kronegger, Luka Moya Anegón, Félix de |
author |
Chinchilla-Rodríguez, Zaida |
author_facet |
Chinchilla-Rodríguez, Zaida Ferligoj, Anuska Miguel, Sandra Kronegger, Luka Moya Anegón, Félix de |
author_role |
author |
author2 |
Ferligoj, Anuska Miguel, Sandra Kronegger, Luka Moya Anegón, Félix de |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Bibliotecología y ciencia de la información Bibliometría Científicos Publicaciones científicas Scientific collaboration Bibliometrics Blockmodeling Social network analysis |
topic |
Bibliotecología y ciencia de la información Bibliometría Científicos Publicaciones científicas Scientific collaboration Bibliometrics Blockmodeling Social network analysis |
dc.description.none.fl_txt_mv |
The paper introduces the use of blockmodeling in the micro-level exploration of the internal structure of coauthorship networks over time. Variations in scientific productivity and researcher or research group visibility were determined by observing authors' role in the core-periphery structure and crossing this information with bibliometric data. Three techniques were applied to represent the structure of collaborative science: (1) blockmodeling; (2) the Kamada-Kawai algorithm based on the similarities in co-authorships present in the documents analysed; (3) bibliometrics to determine output volume, impact and degree of collaboration from the bibliographic data drawn from publications. The results were examined to determine the extent to which the use of these two complementary approaches, in conjunction with bibliometric data, provides greater insight into the structure and characteristics of a given field of scientific endeavour. The paper describes certain features of Pajek software and how the application might be used to study research group composition, structure and dynamics. The approach involves combining bibliometric and social network analysis to explore scientific collaboration networks and monitor individual and group careers from new perspectives. The contributionof the paper is more on methodology than the conclusions drawn from the data. Its description of a small-scale case study is intended as an example for application and can be used in other disciplines. It may be very useful for the appraisal of scientific developments Fil: Miguel, Sandra. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina. Fil: Chinchilla-Rodríguez, Zaida. Consejo Superior de Investigaciones Científicas. Centro de Ciencias Humanas y Sociales. Instituto de Políticas y Bienes Públicos. SCImago Research Group. Fil: Ferligoj, Anuska. University of Ljubljana. Faculty of Social Sciences. Fil: Moya Anegón, Félix de. Consejo Superior de Investigaciones Científicas. Centro de Ciencias Humanas y Sociales. Instituto de Políticas y Bienes Públicos. SCImago Research Group. |
description |
The paper introduces the use of blockmodeling in the micro-level exploration of the internal structure of coauthorship networks over time. Variations in scientific productivity and researcher or research group visibility were determined by observing authors' role in the core-periphery structure and crossing this information with bibliometric data. Three techniques were applied to represent the structure of collaborative science: (1) blockmodeling; (2) the Kamada-Kawai algorithm based on the similarities in co-authorships present in the documents analysed; (3) bibliometrics to determine output volume, impact and degree of collaboration from the bibliographic data drawn from publications. The results were examined to determine the extent to which the use of these two complementary approaches, in conjunction with bibliometric data, provides greater insight into the structure and characteristics of a given field of scientific endeavour. The paper describes certain features of Pajek software and how the application might be used to study research group composition, structure and dynamics. The approach involves combining bibliometric and social network analysis to explore scientific collaboration networks and monitor individual and group careers from new perspectives. The contributionof the paper is more on methodology than the conclusions drawn from the data. Its description of a small-scale case study is intended as an example for application and can be used in other disciplines. It may be very useful for the appraisal of scientific developments |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
acceptedVersion |
dc.identifier.none.fl_str_mv |
https://www.memoria.fahce.unlp.edu.ar/art_revistas/pr.9279/pr.9279.pdf |
url |
https://www.memoria.fahce.unlp.edu.ar/art_revistas/pr.9279/pr.9279.pdf |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/hdl/10915/88937 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Scientometrics, 93(3), 699-717. (2012) ISSN 1588-2861 reponame:Memoria Académica (UNLP-FAHCE) instname:Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación instacron:UNLP |
reponame_str |
Memoria Académica (UNLP-FAHCE) |
collection |
Memoria Académica (UNLP-FAHCE) |
instname_str |
Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
Memoria Académica (UNLP-FAHCE) - Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación |
repository.mail.fl_str_mv |
memoria@fahce.unlp.edu.ar |
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13.069144 |