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.
Index Terms:
information visualization, text mining, event analysis, time-dependent visualization
Citation:
Ulrik Brandes, Daniel Fleischer, Jurgen Lerner, "Highlighting Conflict Dynamics in Event Data," infovis, pp.14, 2005 IEEE Symposium on Information Visualization (InfoVis 2005), 2005