COMMETRIX - Visualizing Knowledge Community Metrics...
Knowledge Management Visualization Electronic Communication Networks Communities of Practice Software

>  Screenshot Gallery and Demo Videos


 

Youtube Videos. A series of short youtube videos can be found on the original Commetrix YOUTUBE CHANNEL. While this channel is not maintained or updated anymore, you can find an analysis case study as well as a short tutorial on how to use Commetrix Analyzer and Commetrix Producer.


 

Thumbnail Gallery of Large Screenshots. Click to open large screenshots.

 

 

Galleries and Introductions. To provide a better understanding of the look and feel of the application and of the concrete visualizations, this page will present sample screenshots and sample visualizations. Later, sample analyses and videos of growing community structures will be added.

 

Screenshot using the structural Clustering Algorithm of Release 1.1 - User can cluster the original MSN instant messaging network into a desired number of groups. Structural clustering will construct partial networks by looking for the network's weakest connections. Authors are given as index numbers.

 

Structural Clustering Algorithm of Release 1.1 - User can cluster the original network into a desired number of groups. Structural clustering will construct partial networks by looking for the network's weakest connections. This image shows the connected clusters (same instant messaging network as the screenshot above) by using different colours. Authors are given as index numbers.

 

 

First Screenshot of User Interface of the initial 2008 Release V1.1 - User can use video controls to view the evolvement of the selected ego network.

 


User Interface - User selects discourse - the last discourse is visualized in the background.

 


User Interface - JAVA 3D Visualization mode active - Selected node is marked red.

 


User Interface - 3D Visualization and EGO Filter to generate an EGOnet of the red node.

 


User Interface - The user interface for online importing a new Newsgroup is active.

 


Sample Structure of a PHP-related NNTP Newsgroup - The nodes are authors (labels invisible) the edges are communication relations between authors. The size relates to importance. One author dominates. Four authors connect the two clusters.