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Searching for expertise in social networks: a simulation of potential strategies

11 years 11 months ago
Searching for expertise in social networks: a simulation of potential strategies
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. Categories and Subject Descriptors H.5.3 [Group and Organization Interfaces]: Computersupported cooperative work, Evaluation/methodology; H.3.3 [Information Search and Retrieval]: Search process General Terms H...
Jun Zhang, Mark S. Ackerman
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where GROUP
Authors Jun Zhang, Mark S. Ackerman
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