Highlighting conflict dynamics in event data

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...

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Main Authors: Brandes, U., Fleischer, D., Lerner, J.
Format: Conference Proceeding
Language:English
Subjects:
Animation
Data analysis
Data mining
Data visualization
Graphics
Information analysis
Information science
International relations
Scattering
Text mining
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creator Brandes, U.
Fleischer, D.
Lerner, J.
description 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.
doi_str_mv 10.1109/INFVIS.2005.1532135
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subjects Animation
Data analysis
Data mining
Data visualization
Graphics
Information analysis
Information science
International relations
Scattering
Text mining
title Highlighting conflict dynamics in event data
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