Extraction and mining of an academic social network

  title={Extraction and mining of an academic social network},
  author={J. Tang and J. Zhang and Limin Yao and Juan-Zi Li},
  • J. Tang, J. Zhang, +1 author Juan-Zi Li
  • Published in WWW 2008
  • Computer Science
  • This paper addresses several key issues in extraction and mining of an academic social network: 1) extraction of a researcher social network from the existing Web; 2) integration of the publications from existing digital libraries; 3) expertise search on a given topic; and 4) association search between researchers. We developed a social network system, called ArnetMiner, based on proposed methods to the above problems. In total, 448,470 researcher profiles and 981,599 publications were… CONTINUE READING
    58 Citations

    Figures and Topics from this paper

    Explore Further: Topics Discussed in This Paper

    Extraction of academic social network from online database
    • M. Nasution, S. Noah
    • Computer Science
    • 2011 International Conference on Semantic Technology and Information Retrieval
    • 2011
    • 33
    Social Network Extraction: A Review of Automatic Techniques
    • 10
    • PDF
    Towards Social Network Extraction Using a Graph Database
    • R. Soussi, M. Aufaure, H. Zghal
    • Computer Science
    • 2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications
    • 2010
    • 14
    List of Reviewer
    • K. Lwin
    • Medicine
    • Australasian journal on ageing
    • 2019
    • Highly Influenced
    Identification of relevant experts using academic social network mining
    • 1