Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12015/2740
Title: Email as Spectroscopy: Automated Discovery of Community Structure within Organizations
Authors: Tyler, J.R.
Wilkinson, D.M.
Huberman, B.A.
Issue Date: 2003
Publisher: Springer London, Dordrecht Amsterdam
metadata.dc.relation.ispartof: Communities and Technologies: Proceedings of the First International Conference on Communities and Technologies 2003
metadata.mci.reference.pages: 81-96
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.
metadata.dc.identifier.doi: 10.1007/978-94-017-0115-0_5
URI: https://hdl.handle.net/20.500.12015/2740
ISBN: 978-94-017-0115-0
metadata.mci.conference.sessiontitle: Full Papers
Appears in Collections:C&T 2003: Proceedings of the First International Conference on Communities and Technologies 2003

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