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The Evolution of Your Success Lies at the Centre of Your Co-Authorship Network

Author

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  • Sandra Servia-Rodríguez
  • Anastasios Noulas
  • Cecilia Mascolo
  • Ana Fernández-Vilas
  • Rebeca P Díaz-Redondo

Abstract

Collaboration among scholars and institutions is progressively becoming essential to the success of research grant procurement and to allow the emergence and evolution of scientific disciplines. Our work focuses on analysing if the volume of collaborations of one author together with the relevance of his collaborators is somewhat related to his research performance over time. In order to prove this relation we collected the temporal distributions of scholars’ publications and citations from the Google Scholar platform and the co-authorship network (of Computer Scientists) underlying the well-known DBLP bibliographic database. By the application of time series clustering, social network analysis and non-parametric statistics, we observe that scholars with similar publications (citations) patterns also tend to have a similar centrality in the co-authorship network. To our knowledge, this is the first work that considers success evolution with respect to co-authorship.

Suggested Citation

  • Sandra Servia-Rodríguez & Anastasios Noulas & Cecilia Mascolo & Ana Fernández-Vilas & Rebeca P Díaz-Redondo, 2015. "The Evolution of Your Success Lies at the Centre of Your Co-Authorship Network," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-19, March.
    • Handle: RePEc:plo:pone00:0114302
    DOI: 10.1371/journal.pone.0114302
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    References listed on IDEAS

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    1. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    2. Ying Ding & Erjia Yan & Arthur Frazho & James Caverlee, 2009. "PageRank for ranking authors in co‐citation networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2229-2243, November.
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