Scientometrics
Volume/Issue:
Volume 93: Issue 3
Blockmodeling of co-authorship networks in library and information science in Argentina: a case study
Authors:
Zaida Chinchilla-Rodríguez Consejo Superior de Investigaciones Científicas, Centro de Ciencias Humanas y Sociales, Instituto de Políticas y Bienes Públicos, C/Albasanz, 26-28, 28037 Madrid, Spain; felix.demoya@csic.es
SCImago Research Group, Ljubljana, Slovenia; sandra@fcnym.unlp.edu.ar

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Anuska Ferligoj Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploscad 5, 1000, Ljubljana, Slovenia; anuska.ferligoj@fdv.uni-lj.si; luka.kronegger@fdv.uni-lj.si

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Sandra Miguel SCImago Research Group, Ljubljana, Slovenia; sandra@fcnym.unlp.edu.ar
Departamento de Bibliotecología, Facultad de Humanidades y Ciencias de la Educación, Universidad Nacional de La Plata, 48 e/6 y 7. 5to piso, La Plata, Argentina

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Luka Kronegger Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploscad 5, 1000, Ljubljana, Slovenia; anuska.ferligoj@fdv.uni-lj.si; luka.kronegger@fdv.uni-lj.si

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Félix de Moya-Anegón Consejo Superior de Investigaciones Científicas, Centro de Ciencias Humanas y Sociales, Instituto de Políticas y Bienes Públicos, C/Albasanz, 26-28, 28037 Madrid, Spain; felix.demoya@csic.es
Consejo Superior de Investigaciones Científicas, Centro de Ciencias Humanas y Sociales, Instituto de Políticas y Bienes Públicos, C/Albasanz, 26-28, 28037 Madrid, Spain; felix.demoya@csic.es

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Pages:
699–717
Online Publication Date:
26 Jun 2012
Publication Date:
01 Dec 2012
Article Category:
Research Article
DOI:
https://doi.org/10.1007/s11192-012-0794-6
Keywords:
Scientific collaboration; Bibliometrics; Blockmodeling; Social network analysis
Restricted access

Abstract

The paper introduces the use of blockmodeling in the micro-level study of the internal structure of co-authorship 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) the 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 goal was 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 it can be used to study research group composition, structure and dynamics. The approach combines bibliometric and social network analysis to explore scientific collaboration networks and monitor individual and group careers from new perspectives. Its application on a small-scale case study is intended as an example and can be used in other disciplines. It may be very useful for the appraisal of scientific developments.

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Cover Scientometrics
Scientometrics
Print ISSN:
0138-9130
Online ISSN:
1588-2861

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Scientometrics
Language English
Size B5
Year of
Foundation		 1978
Volumes
per Year		 1
Issues
per Year		 12
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)

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