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2013 IEEE 29th International Conference on Data Engineering (ICDE) (2013)
Brisbane, Australia Australia
Apr. 8, 2013 to Apr. 12, 2013
ISSN: 1063-6382
ISBN: 978-1-4673-4909-3
pp: 1316-1319
Wenfei Fan , Sch. of Inf., Univ. of Edinburgh, Edinburgh, UK
Xin Wang , Sch. of Inf., Univ. of Edinburgh, Edinburgh, UK
Yinghui Wu , Dept. of Comput. Sci., UC Santa Barbara, Santa Barbara, CA, USA
ABSTRACT
We present ExpFinder, a system for finding experts in social networks based on graph pattern matching. We demonstrate (1) how ExpFinder identifies top-K experts in a social network by supporting bounded simulation of graph patterns, and by ranking the matches based on a metric for social impact; (2) how it copes with the sheer size of real-life social graphs by supporting incremental query evaluation and query preserving graph compression, and (3) how the GUI of ExpFinder interacts with users to help them construct queries and inspect matches.
INDEX TERMS
Social network services, Pattern matching, Graphical user interfaces, Engines, Collaboration, Barium, Query processing
CITATION

Wenfei Fan, Xin Wang and Yinghui Wu, "ExpFinder: Finding experts by graph pattern matching," 2013 29th IEEE International Conference on Data Engineering (ICDE 2013)(ICDE), Brisbane, QLD, 2013, pp. 1316-1319.
doi:10.1109/ICDE.2013.6544933
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