安然电子邮件的网络与情感分析
Network and Sentiment Analysis of Enron Emails
AI总结：
本研究利用网络科学方法分析安然公司电子邮件，识别关键员工与社区结构，评估不同关系阈值的影响并进行情感分析，揭示了信息流动模式及危机前后的情感变化。
摘要：
本研究旨在分析安然公司（一家因财务违规操作遭调查后于2001年宣布破产的电力公司）内部交换的电子邮件。与其他研究者类似，我们利用网络科学方法识别了最重要的员工并检测了社区结构。我们发现，个人的重要性取决于所使用的中心性度量指标；同时，我们检测到的社区结构类似于公司的正式组织架构。此外，由于先前的研究要求发送和接收10封电子邮件才能确立一种电子邮件关系，我们分析了不同阈值对结果的影响，发现结果非常依赖于所使用的阈值。我们还对电子邮件进行了情感分析，以评估情感是否随时间变化，结果发现电子邮件的情感无法反映安然的财务状况。我们的结果深入揭示了信息如何在安然内部流动、关键员工是谁，以及危机前后的电子邮件情感。
英文摘要：
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
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
