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
Memoria Académica (UNLP-FAHCE)
Institución
Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación
OAI Identificador
oai:memoria.fahce.unlp.edu.ar:snrd:Jpr9279

id MemAca_2cd9c47b9da46996ca99f7d003579f73
oai_identifier_str oai:memoria.fahce.unlp.edu.ar:snrd:Jpr9279
network_acronym_str MemAca
repository_id_str 1341
network_name_str Memoria Académica (UNLP-FAHCE)
spelling 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
_version_ 1844616467903938560
score 13.069144