Jie Tang
ABSTRACT
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 extracted/integrated after the system having been in operation for two years. The paper describes the architecture and main features of the system. It also briefly presents the experimental results of the proposed methods.
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Digital Library
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- J. Tang, D. Zhang, and L. Yao. Social network extraction of academic researchers. Proc. of ICDM'2007. pp. 292--301 Google ScholarDigital Library
- D. Zhang, J. Tang, J. Li, and K. Wang. A constraint-based probabilistic framework for name disambiguation. Proc. of CIKM'2007. pp. 1019--1022 Google ScholarDigital Library
- J. Zhang, J. Tang, L. Liu, and J. Li. A mixture model for expert finding. Proc. of PAKDD'2008. (to appear) Google ScholarDigital Library
Index Terms
- Extraction and mining of an academic social network
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