Email overload: exploring personal information management of email
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The Journal of Machine Learning Research
Digital Artifacts for Remembering and Storytelling: PostHistory and Social Network Fragments
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
ReMail: a reinvented email prototype
CHI '04 Extended Abstracts on Human Factors in Computing Systems
MyLifeBits: a personal database for everything
Communications of the ACM - Personal information management
Visualizing email content: portraying relationships from conversational histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Contrasting portraits of email practices: visual approaches to reflection and analysis
Proceedings of the working conference on Advanced visual interfaces
Revisiting Whittaker & Sidner's "email overload" ten years later
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Using rhythms of relationships to understand e-mail archives
Journal of the American Society for Information Science and Technology
Stacked Graphs – Geometry & Aesthetics
IEEE Transactions on Visualization and Computer Graphics
Interactive, topic-based visual text summarization and analysis
Proceedings of the 18th ACM conference on Information and knowledge management
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Email is an important part of our lives, almost everyone has at least one email account. It is not uncommon for an average professional email user to receive/send over a hundred emails a day. With all these personal and professional messages accumulated over time, email becomes our personal archive. In recently years, many interesting techniques are developed to improve email management, visualize mailbox content, explore historical events, and discover hidden knowledge from these electronic archives. In this paper, we propose an approach to visualize and compare email archives with Streamgraphs and Tag Clouds. Our preliminary results demonstrate the capability of this technique to compare any general text corpora with temporal information.