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Assessing scientific collaboration through coauthorship and content sharing

Author

Listed:
  • Francesco Giuliani

    (IRCCS Casa Sollievo della Sofferenza)

  • Michele Pio De Petris

    (IRCCS Casa Sollievo della Sofferenza)

  • Giovanni Nico

    (Consiglio Nazionale delle Ricerche (CNR-IAC))

Abstract

Over the past decade there have been many investigations aimed at defining the role of scientists and research groups in their coauthorship networks. Starting from the assumptions of network analysis, in this work we propose an analytical definition of a collaboration potential between authors of scientific papers based on both coauthorships and content sharing. The collaboration potential can also be considered a useful tool to investigate the relationships between a single scientist and research groups, thus allowing for the identification of characteristic “types” of scientists (integrated, independent, etc.). We computed the collaboration potential for a set of authors belonging to research groups of an institute specialized in the field of Medical Genetics. The methods presented in the paper are rather general as they can be applied to compute a collaboration potential for a network of cooperating actors in every situation in which one can qualify the content of some activities and which of them are in common among the actors of the network.

Suggested Citation

  • Francesco Giuliani & Michele Pio De Petris & Giovanni Nico, 2010. "Assessing scientific collaboration through coauthorship and content sharing," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 13-28, October.
    • Handle: RePEc:spr:scient:v:85:y:2010:i:1:d:10.1007_s11192-010-0264-y
    DOI: 10.1007/s11192-010-0264-y
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    References listed on IDEAS

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    1. Necmi K. Avkiran, 2013. "An empirical investigation of the influence of collaboration in Finance on article impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 911-925, June.
    2. Hamzehali Nourmohammadi & Fateme Hodaei, 2014. "Perspective of Iranian women’s scientific production in high priority fields of science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1455-1471, February.
    3. Noémi Gaskó & Rodica Ioana Lung & Mihai Alexandru Suciu, 2016. "A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 613-632, August.

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