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Blockmodeling of co-authorship networks in library and information science in Argentina: a case study

Author

Listed:
  • Zaida Chinchilla-Rodríguez

    (Instituto de Políticas y Bienes Públicos
    SCImago Research Group)

  • Anuska Ferligoj

    (University of Ljubljana)

  • Sandra Miguel

    (SCImago Research Group
    Universidad Nacional de La Plata)

  • Luka Kronegger

    (University of Ljubljana)

  • Félix Moya-Anegón

    (Instituto de Políticas y Bienes Públicos
    SCImago Research Group)

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.

Suggested Citation

  • Zaida Chinchilla-Rodríguez & Anuska Ferligoj & Sandra Miguel & Luka Kronegger & Félix Moya-Anegón, 2012. "Blockmodeling of co-authorship networks in library and information science in Argentina: a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 699-717, December.
    • Handle: RePEc:spr:scient:v:93:y:2012:i:3:d:10.1007_s11192-012-0794-6
    DOI: 10.1007/s11192-012-0794-6
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    References listed on IDEAS

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    Cited by:

    1. Pu Han & Jin Shi & Xiaoyan Li & Dongbo Wang & Si Shen & Xinning Su, 2014. "International collaboration in LIS: global trends and networks at the country and institution level," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 53-72, January.
    2. Jie Zheng & Jianya Gong & Rui Li & Kai Hu & Huayi Wu & Siluo Yang, 2017. "Community evolution analysis based on co-author network: a case study of academic communities of the journal of “Annals of the Association of American Geographers”," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 845-865, November.
    3. Marjan Cugmas & Anuška Ferligoj & Luka Kronegger, 2016. "The stability of co-authorship structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 163-186, January.
    4. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.

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