2008 ArnetMinerExtractionandMiningof

Subject Headings: ArnetMiner System, ArnetMiner Service, Academic Social Network.

Notes

This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting researcher profiles automatically from the Web; 2) Integrating the publication data into the network from existing digital libraries; 3) Modeling the entire academic network; and 4) Providing search services for the academic network. So far, 448,470 researcher profiles have been extracted using a unified tagging approach. We integrate publications from online Web databases and propose a probabilistic framework to deal with the name ambiguity problem. Furthermore, we propose a unified modeling approach to simultaneously model topical aspects of papers, authors, and publication venues. Search services such as expertise search and people association search have been provided based on the modeling results. In this paper, we describe the architecture and main features of the system. We also present the empirical evaluation of the proposed methods.

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 ArnetMinerExtractionandMiningof	Zhong Su Limin Yao Jie Tang Jing Zhang Li Zhang Juanzi Li			ArnetMiner: Extraction and Mining of Academic Social Networks			http://keg.cs.tsinghua.edu.cn/persons/tj/publications/KDD08-Tang-et-al-ArnetMiner.pdf	10.1145/1401890.1402008