TY - CONF T1 - Searching for Expertise in Social Networks: A Simulation of Potential Strategies T2 - Proceedings of the 2005 International ACM SIGGROUP Conference on Supporting Group Work (Group'05) Y1 - 2005 A1 - Zhang, Jun A1 - Mark S. Ackerman KW - expertise finding KW - expertise location KW - expertise sharing KW - information seeking KW - organizational simulations KW - social computing KW - social networks AB -

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.
 

JF - Proceedings of the 2005 International ACM SIGGROUP Conference on Supporting Group Work (Group'05) UR - Complete ER -