document: ArnetMiner : extraction and mining of academic social networks 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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