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.
In REF , Fan et al. presented ExpFinder, a system for finding experts in social networks based on graph pattern matching.
ExpFinder: Finding experts by graph pattern matching
2013 IEEE 29th International Conference on Data Engineering (ICDE)
2013 IEEE 29th International Conference on Data Engineering (ICDE)
Computer Science