DocumentCode :
3705604
Title :
Visual analytics for inspecting the evolution of a graph over time: Pattern discovery in a communication network
Author :
Bruno Schneider;Carmela Acevedo;Juri Buchm?ller;Fabian Fischer;Daniel A. Keim
Author_Institution :
Data Analysis and Visualization Group, University of Konstanz, Germany
fYear :
2015
Firstpage :
169
Lastpage :
170
Abstract :
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.
Keywords :
"Data visualization","Feature extraction","Principal component analysis","Visual analytics","Communication networks","Receivers"
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on
Type :
conf
DOI :
10.1109/VAST.2015.7347664
Filename :
7347664
Link To Document :
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