Highlighting Conflict Dynamics in Event Data
Highlighting Conflict Dynamics in Event Data
Date
2005
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IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.. - IEEE, 2005. - pp. 103-110. - ISBN 0-7803-9464-X
Abstract
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.
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Subject (DDC)
004 Computer Science
Keywords
information visualization,text mining,event analysis,time-dependent visualization
Conference
IEEE Symposium on Information Visualization, 2005. INFOVIS 2005., Minneapolis, MN, USA
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BRANDES, 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, pp. 103-110. ISBN 0-7803-9464-X. Available under: doi: 10.1109/INFVIS.2005.1532135BibTex
@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} }
RDF
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