Authors
Christopher S Campbell, Paul P Maglio, Alex Cozzi, Byron Dom
Publication date
2003/11/3
Book
Proceedings of the twelfth international conference on Information and knowledge management
Pages
528-531
Description
A common method for finding information in an organization is to use social networks---ask people, following referrals until someone with the right information is found. Another way is to automatically mine documents to determine who knows what. Email documents seem particularly well suited to this task of "expertise location", as people routinely communicate what they know. Moreover, because people explicitly direct email to one another, social networks are likely to be contained in the patterns of communication. Can these patterns be used to discover experts on particular topics? Is this approach better than mining message content alone? To find answers to these questions, two algorithms for determining expertise from email were compared: a content-based approach that takes account only of email text, and a graph-based ranking algorithm (HITS) that takes account both of text and communication patterns …
Total citations
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Scholar articles
CS Campbell, PP Maglio, A Cozzi, B Dom - Proceedings of the twelfth international conference on …, 2003