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During the legal investigation of Enron Corporation, the U.S. Federal Regulatory Commission (FERC) made public a substantial data set of the company's internal corporate emails. This work presents a genetic algorithm (GA) approach to social network analysis (SNA) using the Enron corpus. Three SNA metrics, degree, density, and proximity prestige, were applied to the detection of networks of high activity and presence of important actors with respect to email transactions. Quantitative analysisdoi:10.1109/cec.2009.4983357 dblp:conf/cec/WilsonB09 fatcat:cfavhbtt4bbzdl53djcn64gjcm