Brandes Ulrik, Fleischer Daniel, Lerner Jürgen
Department of Computer & Information Science, University of Konstanz, Germany.
IEEE Trans Vis Comput Graph. 2006 Nov-Dec;12(6):1486-99. doi: 10.1109/TVCG.2006.105.
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.
我们提出了一种对事件数据中所体现的双边冲突结构进行可视化总结的方法。此类数据由通过带时间戳的事件链接起来的行为主体组成，并且可以从新闻报道和档案等各种来源中提取。在分析政治事件时，能够识别其中的冲突及参与冲突的行为主体尤为重要。通过将行为主体投影到冲突空间中，我们能够在数以万计的一系列事件中突出主要对手，并提供冲突结构的图形概述。此外，我们的方法还能对冲突动态进行流畅的动画展示。
