Detection of Conflicts of Interest in Social Networks

  • Saadia AlbaneEmail author
  • Hachem Slimani
  • Hamamache Kheddouci
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 882)


In this paper, we introduce a new approach to detect conflicts of interest (COIs) in social networks. We apply this approach to detect COIs in the review process of papers accepted in an international conference that is represented through a social network. This approach consists of extracting some special chains in the studied social network corresponding to conflict of interest cases where the source and target of each chain correspond to an author and a reviewer, respectively. To evaluate the proposed approach, we have conducted some experiments where a comparison with two methods in the literature has been done. The obtained results have shown some efficiency of the proposed approach.


Conflicts of interest Chains Social network Review process International conference 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Saadia Albane
    • 1
    Email author
  • Hachem Slimani
    • 1
  • Hamamache Kheddouci
    • 2
  1. 1.LIMED Laboratory, Faculty of Exact SciencesUniversity of BejaiaBejaiaAlgeria
  2. 2.Université de Lyon, CNRS, Université Lyon 1, LIRIS, UMR5205LyonFrance

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