Now showing items 1-7 of 7

    • Fast and accurate link prediction in social networking systems 

      Papadimitriou A; Symeonidis P; Manolopoulos Y (2012)
      Online social networks (OSNs) recommend new friends to registered users based on local-based features of the graph (i.e. based on the number of common friends that two users share). However, OSNs do not exploit all different ...
    • Friendlink: Link prediction in social networks via bounded local path traversal 

      Papadimitriou A; Symeonidis P; Manolopoulos Y (IEEE, 2011)
      Online social networks (OSNs) like Facebook, Myspace, and Hi5 have become popular, because they allow users to easily share content or expand their social circle. OSNs recommend new friends to registered users based on ...
    • Link prediction in evolutionary graphs the case study of the CCIA network 

      Adrian K; Chocron P; Confalonieri R; Ferrer X; Giraldez-Cru J (IOS Press, 2016)
      Studying the prediction of new links in evolutionary networks is a captivating question that has received the interest of different disciplines. Link prediction allows to extract missing information and evaluate network ...
    • Link prediction in multi-modal social networks 

      Symeonidis P; Perentis C (Springer Verlag, 2014)
      Online social networks like Facebook recommend new friends to users based on an explicit social network that users build by adding each other as friends. The majority of earlier work in link prediction infers new interactions ...
    • Recommending friends and locations over a heterogeneous spatio-temporal graph 

      Kefalas P; Symeonidis P (Springer Verlag, 2015)
      Recommender systems in location-based social networks (LBSNs), such as Facebook Places and Foursquare, have focused on recommending friends or locations to registered users by combining information derived from explicit ...
    • Scalable link prediction in social networks based on local graph characteristics 

      Papadimitriou A; Symeonidis P; Manolopoulos Y (IEEE, 2012)
      Online social networks (OSNs) like Face book, My space, and Hi5 have become popular, because they allow users to easily share content or expand their social circle. OSNs recommend new friends to registered users based on ...
    • Transitive node similarity: Predicting and recommending links in signed social networks 

      Symeonidis P; Tiakas E (Springer New York LLC, 2014)
      Online social networks (OSNs) like Facebook, Myspace, and Hi5 have become popular, because they allow users to easily share content. OSNs recommend new friends to registered users based on local features of the graph (i.e., ...