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Analysis of co-authorship graphs of CORE-ranked software conferences

Author

Listed:
  • Javier Luis Cánovas Izquierdo

    () (UOC)

  • Valerio Cosentino

    () (AtlanMod – Inria – EMN – LINA)

  • Jordi Cabot

    () (ICREA - UOC)

Abstract

In most areas of computer science (CS), and in the software domain in particular, international conferences are as important as journals as a venue to disseminate research results. This has resulted in the creation of rankings to provide quality assessment of conferences (specially used for academic promotion purposes) like the well-known CORE ranking created by the Computing Research and Education Association of Australasia. In this paper we analyze 102 CORE-ranked conferences in the software area (covering all aspects of software engineering, programming languages, software architectures and the like) included in the DBLP dataset, an online reference for computers science bibliographic information. We define a suite of metrics focusing on the analysis of the co-authorship graph of the conferences, where authors are represented as nodes and co-authorship relationships as edges. Our aim is to first characterize the patterns and structure of the community of researchers in software conferences. We then try to see if these values depend on the quality rank of the conference justifying this way the existence of the different classifications in the CORE-ranking system.

Suggested Citation

  • Javier Luis Cánovas Izquierdo & Valerio Cosentino & Jordi Cabot, 2016. "Analysis of co-authorship graphs of CORE-ranked software conferences," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1665-1693, December.
  • Handle: RePEc:spr:scient:v:109:y:2016:i:3:d:10.1007_s11192-016-2136-6
    DOI: 10.1007/s11192-016-2136-6
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    References listed on IDEAS

    as
    1. Massimo Franceschet, 2011. "Collaboration in computer science: A network science approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1992-2012, October.
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    Cited by:

    1. Zewen Hu & Angela Lin & Peter Willett, 2019. "Identification of research communities in cited and uncited publications using a co-authorship network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 1-19, January.

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