Whether in corporate or government organizations, analysts today are bombarded with massive amounts of information from a multitude of sources such as reports, e-mail, social media posts, and news stories. This vast amount of information may easily overwhelm an analyst’s cognitive capacity.

Pacific Northwest National Laboratory has developed a visual analytics approach that transforms data into a graph representation consisting of nodes and links. Using this graph analytics software, investigators can query, organize, and link information about individuals, facts, locations, events, objects, and data to discover key trends, patterns, and insights.
 
The approach exploits the rich middle-ground information typically overlooked by most traditional top-down and bottom-up analysis tools. The software employs a multi-resolution, middle-out, cross-zooming technique that allows users to interactively explore their graphs on a common desktop computer or even handheld devices, interactively analyzing graphs with up to one million nodes.

The graphic analytics tools can be tailored to a variety of areas, including social networks, cybersecurity, electric power grids, financial transactions, forensic analysis for law enforcement, critical infrastructure, bio-informatics, and earth sciences.