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Email as Spectroscopy: Automated Discovery of Community Structure within Organizations

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2003

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Communities and Technologies: Proceedings of the First International Conference on Communities and Technologies 2003
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Springer London, Dordrecht Amsterdam

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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.

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Tyler, J.R.; Wilkinson, D.M.; Huberman, B.A. (2003): Email as Spectroscopy: Automated Discovery of Community Structure within Organizations. Communities and Technologies: Proceedings of the First International Conference on Communities and Technologies 2003. DOI: 10.1007/978-94-017-0115-0_5. Springer London, Dordrecht Amsterdam. ISBN: 978-94-017-0115-0. pp. 81-96. Full Papers

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10.1007/978-94-017-0115-0_5

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C&T 2003: Proceedings of the First International Conference on Communities and Technologies 2003

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