EOS: expertise oriented search using social networks

  • Authors:
  • Juanzi Li;Jie Tang;Jing Zhang;Qiong Luo;Yunhao Liu;Mingcai Hong

  • Affiliations:
  • Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Hong Kong University of Science and Technology, Hong Kong, China;Hong Kong University of Science and Technology, Hong Kong, China;Tsinghua University, Beijing, China

  • Venue:
  • Proceedings of the 16th international conference on World Wide Web
  • Year:
  • 2007

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Abstract

In this paper, we present the design and implementation of our expertise oriented search system, EOS http://www.arnetminer.net. EOS is a researcher social network system. It has gathered information about a half-million computer science researchers from the Web and constructed a social network among the researchers through their co-authorship. In particular, the relationship in the social network information is used in both ranking experts for a given topic and searching for associations between researchers. Our experimental results demonstrate that the proposed methods for expert finding and association search in a social network are both more effective and efficient than the baseline methods.