Visual Analysis of Complex Temporal Networks Supported by Analytic Provenance

We present an interactive visual analysis tool to explore large dynamic graphs. Our system provides users with multiple perspectives to analyze the network. The graph view presents the node-link structure and offers various layout options. To complement, a temporal view shows both the overall temporal distribution and detailed event timelines. The system also supports flexible filtering to reduce the graph size and identify interesting entities. One bonus feature of our system is the provenance map, which visualizes the automatically captured user interactions and allows users to record their findings. The provenance map is helpful for organizing the exploration process and synthesizing analysis results.