TY - JOUR
T1 - Communication networks from the Enron email corpus "It's always about the people. Enron is no different"
AU - Diesner, Jana
AU - Frantz, Terrill L.
AU - Carley, Kathleen M.
N1 - This paper is part of the Dynamics Networks project in CASOS (Center for Computational Analysis of Social and Organizational Systems) at Carnegie Mellon University. This technology described herein was supported in part by the Office of Naval Research (ONR), United States Navy Grant No. 9620.1.1140071 on Dynamic Network Analysis under the direction of Rebecca Goolsby. Additional support on measures and analysis was provided by the DOD and the NSF under the MKIDS project, IIS-0218466-NSF and the NSF under the IGERT program in CASOS. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the ONR, DOD, National Science Foundation or the U.S. government. We thank Corinne Coen (SUNY, Buffalo) for her advice on this project, Eduard Hovy (USC, ISI) for pointing us to ISI’s work on Enron, and the CASOS lab for their help on this work; especially Andrew Dougherty and Dan Woods. An earlier version of portions of this paper was presented at the Workshop on Link Analysis, Counterterrorism and Security, held at the SIAM Data Mining Conference in Newport Beach on April 23rd, 2005.
PY - 2005/10
Y1 - 2005/10
N2 - The Enron email corpus is appealing to researchers because it represents a rich temporal record of internal communication within a large, real-world organization facing a severe and survival-threatening crisis. We describe how we enhanced the original corpus database and present findings from our investigation undertaken with a social network analytic perspective. We explore the dynamics of the structure and properties of the organizational communication network, as well as the characteristics and patterns of communicative behavior of the employees from different organizational levels. We found that during the crisis period, communication among employees became more diverse with respect to established contacts and formal roles. Also during the crisis period, previously disconnected employees began to engage in mutual communication, so that interpersonal communication was intensified and spread through the network, bypassing formal chains of communication. The findings of this study provide valuable insight into a real-world organizational crisis, which may be further used for validating or developing theories and dynamic models of organizational crises; thereby leading to a better understanding of the underlying causes of, and response to, organization failure.
AB - The Enron email corpus is appealing to researchers because it represents a rich temporal record of internal communication within a large, real-world organization facing a severe and survival-threatening crisis. We describe how we enhanced the original corpus database and present findings from our investigation undertaken with a social network analytic perspective. We explore the dynamics of the structure and properties of the organizational communication network, as well as the characteristics and patterns of communicative behavior of the employees from different organizational levels. We found that during the crisis period, communication among employees became more diverse with respect to established contacts and formal roles. Also during the crisis period, previously disconnected employees began to engage in mutual communication, so that interpersonal communication was intensified and spread through the network, bypassing formal chains of communication. The findings of this study provide valuable insight into a real-world organizational crisis, which may be further used for validating or developing theories and dynamic models of organizational crises; thereby leading to a better understanding of the underlying causes of, and response to, organization failure.
KW - Communication networks
KW - Dynamic network analysis
KW - Email corpus
KW - Enron
KW - Organizational crisis
KW - Organizational hierarchy
KW - Social network analysis
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U2 - 10.1007/s10588-005-5377-0
DO - 10.1007/s10588-005-5377-0
M3 - Article
AN - SCOPUS:31044433193
SN - 1381-298X
VL - 11
SP - 201
EP - 228
JO - Computational and Mathematical Organization Theory
JF - Computational and Mathematical Organization Theory
IS - 3
ER -