The discovery of small world and scale free properties of many real world networks has revolutionized the way we study, analyze, model and process networks. An important way to analyze these complex networks is to visualize them using graph layout algorithms. Due to their large size and complex connectivity, it is difficult to make deductions from the visual representation of these networks. In this paper, we present a method for interactive analysis of large graphs based on topological filtering, network metrics and visualization. We analyze a number of real world networks and draw interesting conclusions using the proposed method.

翻译：拓扑过滤用于复杂网络的视觉数据挖掘和分析 翻译的摘要： 通过发现许多现实世界的网络具有小世界和无标度特征，改变了我们研究、分析、建模和处理网络的方式。分析这些复杂网络的重要方式是使用图形布局算法进行可视化。由于它们的大尺寸和复杂连接，难以从这些网络的视觉表现中得出推论。在本文中，我们提出了一种基于拓扑过滤、网络度量和可视化的大型图形交互式分析方法。我们分析了许多现实世界中的网络，并使用所提出的方法得出了有趣的结论。