Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Yenta: a multi-agent, referral-based matchmaking system
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Expertise recommender: a flexible recommendation system and architecture
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Modern Information Retrieval
Sharing Expertise: Beyond Knowledge Management
Sharing Expertise: Beyond Knowledge Management
Contact management: identifying contacts to support long-term communication
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Improving Search in Peer-to-Peer Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
The role of social networks in students' learning experiences
Working group reports on ITiCSE on Innovation and technology in computer science education
Harvesting with SONAR: the value of aggregating social network information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using Contextual Information to Improve Search in Email Archives
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Toward Automatic Expertise Identification of Blogger
Proceedings of the 2009 conference on Information Modelling and Knowledge Bases XX
NetLearn: Social Network Analysis and Visualizations for Learning
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Making sense of archived e-mail: Exploring the Enron collection with NetLens
Journal of the American Society for Information Science and Technology
Referral based expertise search system in a time evolving social network
Proceedings of the Third Annual ACM Bangalore Conference
Aspects of augmented social cognition: social information foraging and social search
OCSC'07 Proceedings of the 2nd international conference on Online communities and social computing
SISN: a toolkit for augmenting expertise sharing via social networks
OCSC'07 Proceedings of the 2nd international conference on Online communities and social computing
Threshold behavior of incentives in social networks
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Social bookmark weighting for search and recommendation
The VLDB Journal — The International Journal on Very Large Data Bases
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Automated social network analysis for collaborative work
CDVE'06 Proceedings of the Third international conference on Cooperative Design, Visualization, and Engineering
Conceptualizing and advancing research networking systems
ACM Transactions on Computer-Human Interaction (TOCHI)
Foundations and Trends in Information Retrieval
Div-clustering: Exploring active users for social collaborative recommendation
Journal of Network and Computer Applications
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People search for people with suitable expertise all of the time in their social networks - to answer questions or provide help. Recently, efforts have been made to augment this searching. However, relatively little is known about the social characteristics of various algorithms that might be useful. In this paper, we examine three families of searching strategies that we believe may be useful in expertise location. We do so through a simulation, based on the Enron email data set. (We would be unable to suitably experiment in a real organization, thus our need for a simulation.) Our emphasis is not on graph theoretical concerns, but on the social characteristics involved. The goal is to understand the tradeoffs involved in the design of social network based searching engines.