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Structure in the Enron Email Dataset

Author

Listed:
  • P. S. Keila

    (Queen's University)

  • D. B. Skillicorn

    (Queen's University)

Abstract

We investigate the structures present in the Enron email dataset using singular value decomposition and semidiscrete decomposition. Using word frequency profiles, we show that messages fall into two distinct groups, whose extrema are characterized by short messages and rare words versus long messages and common words. It is surprising that length of message and word use pattern should be related in this way. We also investigate relationships among individuals based on their patterns of word use in email. We show that word use is correlated to function within the organization, as expected. Lastly, we show that relative changes to individuals' word usage over time can be used to identify key players in major company events.

Suggested Citation

  • P. S. Keila & D. B. Skillicorn, 2005. "Structure in the Enron Email Dataset," Computational and Mathematical Organization Theory, Springer, vol. 11(3), pages 183-199, October.
    • Handle: RePEc:spr:comaot:v:11:y:2005:i:3:d:10.1007_s10588-005-5379-y
    DOI: 10.1007/s10588-005-5379-y
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    References listed on IDEAS

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    1. Simon, Adam F. & Xenos, Michael, 2004. "Dimensional Reduction of Word-Frequency Data as a Substitute for Intersubjective Content Analysis," Political Analysis, Cambridge University Press, vol. 12(1), pages 63-75, January.
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    Cited by:

    1. Hady W. Lauw & Ee-Peng Lim & HweeHwa Pang & Teck-Tim Tan, 2005. "Social Network Discovery by Mining Spatio-Temporal Events," Computational and Mathematical Organization Theory, Springer, vol. 11(2), pages 97-118, July.
    2. Michael W. Berry & Murray Browne, 2005. "Email Surveillance Using Non-negative Matrix Factorization," Computational and Mathematical Organization Theory, Springer, vol. 11(3), pages 249-264, October.
    3. Jana Diesner & Terrill L. Frantz & Kathleen M. Carley, 2005. "Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different”," Computational and Mathematical Organization Theory, Springer, vol. 11(3), pages 201-228, October.
    4. Anurat Chapanond & Mukkai S. Krishnamoorthy & Bülent Yener, 2005. "Graph Theoretic and Spectral Analysis of Enron Email Data," Computational and Mathematical Organization Theory, Springer, vol. 11(3), pages 265-281, October.
    5. Sriranga Suprabhath Koduru & Venkata Siva Prasad Machina & Sreedhar Madichetty, 2023. "Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review," Energies, MDPI, vol. 16(12), pages 1-36, June.
    6. Alastair Irons & Harjinder Singh Lallie, 2014. "Digital Forensics to Intelligent Forensics," Future Internet, MDPI, vol. 6(3), pages 1-13, September.

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