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Email as spectroscopy: automated discovery of community structure within organizations

: 81--96, 2003.
Authors: Joshua R. Tyler and Dennis M. Wilkinson and Bernardo A. Huberman
URL: http://portal.acm.org/citation.cfm?id=966268
Tags: Hewlett Packard email network social
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.
| URL | BibTeX  
@article{966268,
title = {Email as spectroscopy: automated discovery of community structure within organizations},
address = {Deventer, The Netherlands, The Netherlands},
author = {Joshua R. Tyler and Dennis M. Wilkinson and Bernardo A. Huberman},
pages = {81--96},
publisher = {Kluwer, B.V.},
url = {http://portal.acm.org/citation.cfm?id=966268},
year = {2003},
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.},
book = {Communities and technologies}, isbn = {1-4020-1611-5},
keywords = {Hewlett Packard email network social }
}