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Here is an interesting result, from HP group :
Tyler, J. R., Wilkinson, D. M., Huberman, B. A. (2003). Email as
Spectroscopy: Automated Discovery of Community Structure within
Organizations. Communities and Technologies, pp. 81-96.
Abstract: We describe a methodology for the automatic identification
of communities of practice from email logs within an organization. We
use a betweeness 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.
Le 16 nov. 05 à 19:43, Chris Diehl a écrit :
> ***** To join INSNA, visit http://www.insna.org *****
> Dear SOCNETers,
> I am interested in the problem of inferring the management
> hierarchy of an
> organization from observed email exchanges. Within the social network
> analysis domain, I'm curious what relevant research I should
> review. Any
> pointers would be greatly appreciated.
> Chris Diehl, Ph.D.
> System and Information Sciences Group
> Research and Technology Development Center
> Applied Physics Laboratory
> Johns Hopkins University
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