visualizing email content portraying relationships from
play

Visualizing Email Content: Portraying Relationships From - PowerPoint PPT Presentation

Visualizing Email Content: Portraying Relationships From Conversational Histories Fernanda B. Viegas Scott Golder Judith Donath Speaker: Yi-Ching Huang 2007/09/04 About this paper Fernanda B. Vigas , Scott Golder , Judith Donath,


  1. Visualizing Email Content: Portraying Relationships From Conversational Histories Fernanda B. Viegas Scott Golder Judith Donath Speaker: Yi-Ching Huang 2007/09/04

  2. About this paper • Fernanda B. Viégas , Scott Golder , Judith Donath, Visualizing email content: portraying relationships from conversational histories, Proceedings of the SIGCHI conference on Human Factors in computing systems, April 22-27, 2006, Montréal, Québec, Canada

  3. Email Visualization • Thread-based visualizations • Social-network visualizations • Temporal visualizations • Contact-based visualizations

  4. • They are useful for showing the networks of acquaintanceship and the temporal rhythms of interactions, but...

  5. • They do not provide any clues about the topics people discuss or the type of language they use with different members of their social circles.

  6. Themail

  7. Themail • Themail visualize an individual’s email content over time • show keywords along a timeline • keywords have different colors and sizes

  8. Two main questions • What sorts of things do I talk about with each of my email contacts? • How do my email conversations with one person differ from those with other people?

  9. • Multiple layers of information • Yearly words : reveal the most used terms over an entire year of email exchange • Monthly words : are the most distinctive and frequency used words in email conversation over a month

  10. How does it work?

  11. Themail • Themail processor • merge multiple account • calculate topic words • TFIDF algorithm • Themail visualization • interacting with Themail • adjusting the time scale

  12. Our Idea: Bookmark Rhythms

  13. Main Idea • Show an individual’s interest change over time • Visualize the rhythm of interest change

  14. Our Approach • Data source from • social bookmarking website: del.icio.us • Extract multiple layer information • overall topic • topic exchange over time

  15. Information Processing • Clustering • Classification • Semantic v.s. Color analysis

  16. Visualization • overall visualization • tag-cloud (color & size) • temporal visualization • rhythm (timeline) • interact with data

  17. Milestone • 9/4 ~ 9/11 • visualize the raw data • implement ConceptNet

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend