Title :
Highlighting conflict dynamics in event data
Author :
Brandes, Ulrik ; Fleischer, Daniel ; Lerner, Jürgen
Author_Institution :
Dept. of Comput. & Inf. Sci., Konstanz Univ., Germany
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.
Keywords :
data analysis; data visualisation; bilateral conflict structure; conflict recognition space; conflict structure graphic overview; event data conflict dynamics; information visualization; political event analysis; time dependent visualization; time stamped event; visual summary; Animation; Data analysis; Data mining; Data visualization; Graphics; Information analysis; Information science; International relations; Scattering; Text mining;
Conference_Titel :
Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on
Print_ISBN :
0-7803-9464-X
DOI :
10.1109/INFVIS.2005.1532135