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2008
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Extraction and mining of an academic social network

10 years 10 months ago
Extraction and mining of an academic social network
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. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval, Digital Libraries, I.2.6 [Artificial Intelligence]: Learning, H.2.8 [Database Management]: Database Applications. General Terms Algorithms, Experimentation Keywords Social N...
Jie Tang, Jing Zhang, Limin Yao, Juan-Zi Li
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2008
Where WWW
Authors Jie Tang, Jing Zhang, Limin Yao, Juan-Zi Li
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