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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenfei Fan Xin Wang Yinghui Wu |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Inf., Univ. of Edinburgh, Edinburgh, UK (Wenfei Fan; Xin Wang) || Dept. of Comput. Sci., UC Santa Barbara, Santa Barbara, CA, USA (Yinghui Wu) |
| 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. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 1316 |
| Ending Page | 1319 |
| File Size | 577557 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467349093 |
| ISSN | 10636382 |
| e-ISBN | 9781467349109 |
| e-ISBN | 9781467349086 |
| DOI | 10.1109/ICDE.2013.6544933 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-08 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Social network services Pattern matching Graphical user interfaces Engines Collaboration Barium Query processing |
| Content Type | Text |
| Resource Type | Article |
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