Co-author Recommender System

  • Ilya MakarovEmail author
  • Oleg Bulanov
  • Leonid E. Zhukov
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 197)


Modern bibliographic databases contain significant amount of information on publication activities of research communities. Researchers regularly encounter challenging task of selecting a co-author for joint research publication or searching for authors, whose papers are worth reading. We propose a new recommender system for finding possible collaborator with respect to research interests. The recommendation problem is formulated as a link prediction within the co-authorship network. The network is derived from the bibliographic database and enriched by the information on research papers obtained from Scopus and other publication ranking systems.



I. Makarov was supported within the framework of the Basic Research Program at National Research University Higher School of Economics and within the framework of a subsidy by the Russian Academic Excellence Project ‘5-100’


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.National Research University Higher School of EconomicsMoscowRussia

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