Discovering Co-author Relationship in Bibliographic Data Using Similarity Measures and Random Walk Model

  • Ngoc Tu Luong
  • Tuong Tri Nguyen
  • Jason J. Jung
  • Dosam Hwang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9011)


Discovering the research communities to bring techniques to the world is an interesting topic. In this paper we use the DBLP data to investigate the co-author relationship in a real bibliographic network and predict the interactions between co-authors. We analysis the research trend of authors and conferences based on extracted keywords from paper titles. We can understand research fields and change of research trend to find appropriate co-authors and conferences to submit our work. We also find potential co-authors for an existing author in DBLP data by using a variety of similarity measures and a random walk model. It can be useful for building a recommendation system.


DBLP Co-author Similarity Random walk Bibliographic 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ngoc Tu Luong
    • 1
  • Tuong Tri Nguyen
    • 1
  • Jason J. Jung
    • 2
  • Dosam Hwang
    • 1
  1. 1.Department of Computer EngineeringYeungnam UniversityGyeongsanKorea
  2. 2.School of Computer EngineeringChung-Ang UniversitySeoulKorea

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