Title :
EmailTime: Visual analytics of emails
Author :
Joorabchi, Minoo Erfani ; Yim, Ji-Dong ; Shaw, Christopher D.
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;
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
DOI :
10.1109/VAST.2010.5652968