ExpFinder: Finding experts by graph pattern matching

Wenfei Fan, Xin Wang, Yinghui Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publication29th IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 8-12, 2013
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)978-1-4673-4908-6
ISBN (Print)978-1-4673-4909-3
Publication statusPublished - 2013


Dive into the research topics of 'ExpFinder: Finding experts by graph pattern matching'. Together they form a unique fingerprint.

Cite this