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.
%0 Book Section
%1 tyler2003email
%A Tyler, Joshua R.
%A Wilkinson, Dennis M.
%A Huberman, Bernardo A.
%B Communities and technologies
%C Deventer, The Netherlands, The Netherlands
%D 2003
%I Kluwer, B.V.
%K gn detection email structure community
%P 81--96
%T Email as Spectroscopy: Automated Discovery of Community Structure within Organizations
%U http://www.citebase.org/cgi-bin/citations?id=oai:arXiv.org:cond-mat/0303264
%X 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.
@inbook{tyler2003email,
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.},
added-at = {2006-05-15T16:36:26.000+0200},
address = {Deventer, The Netherlands, The Netherlands},
author = {Tyler, Joshua R. and Wilkinson, Dennis M. and Huberman, Bernardo A.},
biburl = {https://www.bibsonomy.org/bibtex/2b272b4797aec6d5e3a4972592af93ab2/jaeschke},
booktitle = {Communities and technologies},
interhash = {c712e59ff99f12c42a5d3c3b0bf4c48f},
intrahash = {b272b4797aec6d5e3a4972592af93ab2},
keywords = {gn detection email structure community},
pages = {81--96},
publisher = {Kluwer, B.V.},
timestamp = {2014-07-28T15:57:31.000+0200},
title = {Email as Spectroscopy: Automated Discovery of Community Structure within Organizations},
url = {http://www.citebase.org/cgi-bin/citations?id=oai:arXiv.org:cond-mat/0303264},
year = 2003
}