Agent-based modeling, simulation, and network analysis approaches is 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. The simulation results are compared with the Enron email dataset in the following meanings: (i) the degrees of the communication networks and contents information and (ii) the changes of network structures among the major events. The investigation suggests that the agent-based model is beneficial to uncover the characteristics of implicit communication mechanisms of the firm.
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