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 :
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