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
Link To Document