  The objective of the research was to analyze e-mails exchanged at Enron, a
power company that declared bankruptcy in 2001 following an investigation into
unethical operations regarding their financials. Like other researchers, we
identify the most important employees and detect communities using network
science methods. We find that the importance of a person depends on the
centrality measure used; while the communities we detected resembled the formal
organizational structure of the company. In addition, because previous work
required that 10 e-mails be sent and received for an e-mail relationship to
exist, we analyzed the effect of different thresholds on the results and found
that results were very dependent on the threshold used. We also performed
sentiment analyses on the e-mails to evaluate whether sentiment changed over
time and found that the sentiments of the e-mails do not give insight into the
financial wellbeing of Enron. Our results provide insight into how information
flowed through Enron, who the key employees were, and e-mail sentiment before
and after the crisis
