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

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CHEN, Min, ed. and others. 2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015. Piscataway, NJ: IEEE, 2015, pp. 169-170. ISBN 978-1-4673-9783-4. Available under: doi: 10.1109/VAST.2015.7347664
Zusammenfassung

In this paper, 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.

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IEEE Conference on Visual Analytics Science and Technology (VAST), 25. Okt. 2015 - 30. Okt. 2015, Chicago, IL, USA
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ISO 690SCHNEIDER, Bruno, Carmela ACEVEDO, Juri F. BUCHMÜLLER, Fabian FISCHER, Daniel A. KEIM, 2015. Visual analytics for inspecting the evolution of a graph over time : pattern discovery in a communication network. IEEE Conference on Visual Analytics Science and Technology (VAST). Chicago, IL, USA, 25. Okt. 2015 - 30. Okt. 2015. In: CHEN, Min, ed. and others. 2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015. Piscataway, NJ: IEEE, 2015, pp. 169-170. ISBN 978-1-4673-9783-4. Available under: doi: 10.1109/VAST.2015.7347664
BibTex
@inproceedings{Schneider2015-10Visua-33498,
  year={2015},
  doi={10.1109/VAST.2015.7347664},
  title={Visual analytics for inspecting the evolution of a graph over time : pattern discovery in a communication network},
  isbn={978-1-4673-9783-4},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015},
  pages={169--170},
  editor={Chen, Min},
  author={Schneider, Bruno and Acevedo, Carmela and Buchmüller, Juri F. and Fischer, Fabian and Keim, Daniel A.}
}
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