ISSN : 1796-2056
Volume : 3    Issue : 7    Date : July 2008

Analyzing the ENRON Communication Network Using Agent-Based Simulation
Shinako Matsuyama and Takao Terano
Page(s): 26-33
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Agent-based modeling, simulation, and network analysis approaches are one of the emergent
techniques among soft computing literature. This paper presents an agent-based model for
analyzing the characteristics of peer-to-peer human communication networks. We focus on the
process of the collapse of Enron Corporation, which is an interesting topic among the business
management domain. The Enron email dataset is available for the analysis. Our approach consists
of the four steps: First, macro-level characteristics of the Enron email dataset is analyzed from the
viewpoints of social network theory: (i) the degrees of the communication networks and contents
information, and (ii) the changes of network structures among the major events. Second, for the
micro-level analysis, an agent-based simulator is implemented using the Enron email dataset.
Third, both micro- and macro- level characteristics are calculated on the simulator to ground the
model to the dataset. Finally, a different artificial society from the Enron email dataset is developed
the simulator and we compare its characteristics of communication patterns with the result of the
ones in the agent-based simulation with the Enron email dataset. The investigation suggests that
the agent-based model is beneficial to uncover the characteristics of implicit communication
mechanisms of the firm.

Index Terms
Communication network, e-mail analysis, Agent-based simulation