Analyzing the ENRON Communication Network Using Agent-Based Simulation

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 peerto-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 ...

• Type: Journal
• Year: 2008
• Where: JNW
• Authors: Shinako Matsuyama, Takao Terano
• Keywords: Agent-based Model, Communication Networks, Enron Email Dataset, JNW 2008