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|Title:||Email as Spectroscopy: Automated Discovery of Community Structure within Organizations|
|Publisher:||Springer London, Dordrecht Amsterdam|
|metadata.dc.relation.ispartof:||Communities and Technologies: Proceedings of the First International Conference on Communities and Technologies 2003|
|Series/Report no.:||Communities and Technologies|
|Abstract:||We describe a method for the automatic identification of communities of practice from email logs within an organization. We use a betweenness centrality algorithm that can rapidly find communities within a graph representing information flows. We apply this algorithm to an email corpus of nearly one million messages collected over a two-month span, and show that the method is effective at identifying true communities, both formal and informal, within these scale-free graphs. This approach also enables the identification of leadership roles within the communities. These studies are complemented by a qualitative evaluation of the results in the field.|
|Appears in Collections:||C&T 2003: Proceedings of the First International Conference on Communities and Technologies 2003|
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