Publikation:

Highlighting Conflict Dynamics in Event Data

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bfl_hcded_05.pdf
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2005

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http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-77694
DOI (zitierfähiger Link)
https://doi.org/10.1109/INFVIS.2005.1532135
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IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.. IEEE, 2005, pp. 103-110. ISBN 0-7803-9464-X. Available under: doi: 10.1109/INFVIS.2005.1532135

Zusammenfassung

We present a method for visual summary of bilateral conflict structures embodied in event data. Such data consists of actors linked by time-stamped events, and may be extracted from various sources such as news reports and dossiers. When analyzing political events, it is of particular importance to be able to recognize conflicts and actors involved in them. By projecting actors into a conflict space, we are able to highlight the main opponents in a series of tens of thousands of events, and provide a graphic overview of the conflict structure. Moreover, our method allows for smooth animation of the dynamics of a conflict.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

information visualization, text mining, event analysis, time-dependent visualization

Konferenz

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005., Minneapolis, MN, USA
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ISO 690BRANDES, Ulrik, Daniel FLEISCHER, Jürgen LERNER, 2005. Highlighting Conflict Dynamics in Event Data. IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.. Minneapolis, MN, USA. In: IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.. IEEE, 2005, pp. 103-110. ISBN 0-7803-9464-X. Available under: doi: 10.1109/INFVIS.2005.1532135
BibTex
@inproceedings{Brandes2005Highl-5749,
  year={2005},
  doi={10.1109/INFVIS.2005.1532135},
  title={Highlighting Conflict Dynamics in Event Data},
  isbn={0-7803-9464-X},
  publisher={IEEE},
  booktitle={IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.},
  pages={103--110},
  author={Brandes, Ulrik and Fleischer, Daniel and Lerner, Jürgen}
}
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