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Visualizing eMail Relationships
posted by Editor on Friday June 13, @03:27PM
Data Visualization This article by the USC Information Sciences Institute describes eArchivarius, a tool for organizing and visualizing collections of email. The tool detects relationships between messages and people by analyzing clues from the message texts, and visualizes the relationships with a 3D interface that uses spheres to represent email authors. The distance between the spheres indicates the number of messages exchanged over a given period (see screenshot). Possible applications include helping large corporations respond to subpoenas for all email messages on a specific question, allowing historians to analyze the background of a government decision using an email archive (the prototype is running on a collection of emails from the National Security Council during the Iran-Contra period, i.e. 1985-87), and providing better ways to browse email archives that have been donated to libraries. Here is a walk-through of the tool.

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  • This discussion has been archived. No new comments can be posted.
    Another application... (Score:1)
    by WorldMaker on Saturday June 14, @01:31AM EST (#1)
    (User #37 Info) http://www.worldmaker.net/
    One of the ideas I've been toying with is some form of relationship tracking for use as SPAM filtering... Obviously the more you have corresponded (both ways) with someone the less likely it is spam...

    I'm not a robot like you. I don't like having disks crammed into me... unless they're Oreos, and then only in the mouth. -- Fry

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