Enron Fraud Case Study

November - December 2021

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Authors: Steven Sun, Kenneth Lee, Kyu Kim,
               Hashim Ahmed

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Advisors: Prof. Demetrius Lewis

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Project Overview:​

• Utilized dataset of 500K+ emails from Enron employees published by US Federal Energy Regulatory Commission

• Analyzed company's management structure and syndicate network based on social network analytics including PageRank, eigenvector centrality, and coreness​

• Performed natural language processing (NLP) to identify illegal activity of energy manipulation from coded signals within company's communication network

• Implemented fraud triangle framework and identified key components (leadership, culture, management control) in Enron's deterioration

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