Email as Spectroscopy: Automated Discovery of Community Structure within Organizations

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.

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

DOI

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

Collections

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

Full item page

Email as Spectroscopy: Automated Discovery of Community Structure within Organizations

Fulltext URI

Document type

Files

Additional Information

Date

Authors

Journal Title

Journal ISSN

Volume Title

Source

Publisher

Abstract

Description

Keywords

Citation

DOI

Tags

Collections