Making Sense of Graph Query Results : Interactive Summarization and Exploration

Large data-rich network datasets are ubiquitous. Increasing research and development in graph databases offers analysts the ability to query large networks for interesting patterns. Graph querying allows analysts to quickly find matches for desired subgraphs from a large network (e.g., a clique of suspiciously communicating machines on a company intranet). Many of these systems do not support the exploration of results and leave the analyst with ineffective visualizations like tables and lists. We present our work in progress, VIGOR, an interactive visual system for summarizing and investigating large numbers of graph querying results.