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ArnetMiner - Deep Analysis & Mining for Academic Social Networks

Speaker: Jie Tang

December 11, 2013 - 4:00 p.m.
Location: CBIS, Oxbridge Room 2353


Social network services (SNSs) have recently attracted much attention. In this talk, I will introduce our academic search system ArnetMiner (http://www.arnetminer.org). This system is focused on 1) Extracting researcher profiles from the Web; 2) Integrating publication data from existing digital libraries; 3) Modeling the academic network; and 4) Providing services for the network. Up to now, 448,470 researcher profiles have been extracted using a unified tagging approach. We integrate publications from online Web databases in a probabilistic framework to deal with name ambiguity and other problems. Furthermore, we propose a unified modeling approach to model topical aspects of papers, authors, and publication venues. Search services such as expertise search and people association are provided based on the modeling results. The system has been in operation for more than two years. System logs show that the users are from >180 countries and the system receives ~2,000 visits per day with independent IP address. The number of hits continuously increases by +20% per month.

Last updated: December 9, 2013