Assessing scientific collaboration through coauthorship and content sharing

Francesco Giuliani, Michele Pio de Petris, Giovanni Nico

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)13-28
Number of pages16
JournalScientometrics
Volume85
Issue number1
DOIs
Publication statusPublished - 2010

Keywords

  • Coauthorships
  • Collaboration potential
  • R&D networks
  • Scientific collaborations

ASJC Scopus subject areas

  • Computer Science Applications
  • Social Sciences(all)
  • Library and Information Sciences
  • Law

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