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 language | English |
|---|---|
| Title of host publication | 29th IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 8-12, 2013 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 1316-1319 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-4673-4908-6 |
| ISBN (Print) | 978-1-4673-4909-3 |
| DOIs | |
| Publication status | Published - 2013 |