Visual analytics for inspecting the evolution of a graph over time: Pattern discovery in a communication network

We present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information incl...

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Bibliographic Details
Published in:	2015 IEEE Conference on Visual Analytics Science and Technology (VAST) pp. 169 - 170
Main Authors:	Schneider, Bruno, Acevedo, Carmela, Buchmuller, Juri, Fischer, Fabian, Keim, Daniel A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2015
Subjects:	Communication networks Data visualization Feature extraction H.2.8 [Database Management]: Database Applications-Data mining H.5.2 [Information Interfaces]: User Interfaces-Graphical user interfaces (GUI) Principal component analysis Receivers Visual analytics
Online Access:	Get full text
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Summary:	We present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information included the location from which a message was sent in the fictional amusement park. In the first approach, we present the data preprocessing pipeline we used for a custom visualization. In the second approach, we present how we used available data preprocessing and visualization software to get a quick and clear overview of the problem, and how we used the generated findings to feed our custom visualizations.
DOI:	10.1109/VAST.2015.7347664