• DocumentCode
    3358102
  • Title

    EmailTime: Visual analytics of emails

  • Author

    Joorabchi, Minoo Erfani ; Yim, Ji-Dong ; Shaw, Christopher D.

  • fYear
    2010
  • fDate
    25-26 Oct. 2010
  • Firstpage
    233
  • Lastpage
    234
  • Abstract
    Although the discovery and analysis of communication patterns in large and complex email datasets are difficult tasks, they can be a valuable source of information. This paper presents EmailTime´s capabilities through several examples. EmailTime is a visual analysis of email correspondence patterns over the course of time that interactively portrays personal and interpersonal networks using the correspondence in the email dataset. We suggest that integrating both statistics and visualizations in order to display information about the email datasets may simplify its evaluation.
  • Keywords
    electronic mail; EmailTime; communication patterns; email correspondence; email dataset; interactively portrays; interpersonal networks; visual analysis; visual analytics; Color; Electronic mail; Frequency measurement; Receivers; Switches; Visual analytics; Email; Email Correspondents; EmailTime; Enron; Visual Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4244-9488-0
  • Electronic_ISBN
    978-1-4244-9487-3
  • Type

    conf

  • DOI
    10.1109/VAST.2010.5652968
  • Filename
    5652968