Deep Email Miner
Screenshots
Below you can find some screenshots of the Deep Email Miner v1 in action. All screenshots were made using Fedora Linux and the Gnome Desktop.-
The standard view. Each employee is displayed as a vertex in the
social network. An edge between two vertices indicates the
existence of email traffic between them, the edge's color its
extent.
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In the clustering mode, edges are removed in the order of their
edge betweenness centrality.
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The available statistics quantify the structure of the email
corpus.
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The email set viewer displays all emails for a
selected edge or the internal/external incoming/outgoing emails
of an employee. They can be displayed via a double-click on the
email subject.
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In the filtering mode, different edge and email properties can
be selected. The recipient type (TO/CC/BCC), the date and the
number of emails an edge must contain to be displayed.
Large and complex networks can easily be made more accessible
using this mechanism.
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Ranking algorithms rank the vertices and edges on according to
different measures including email data and social network analysis
functions.
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An integrated thread detection mechanism bundles single emails
with different senders to email threads.
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The email labelling mechanism builds the foundation for the text
mining functionality.
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All email data has to be loaded from the database.
