I am pleased to announce d3-force-reuse, a new D3.js plugin for computing faster force-directed graph layouts. This new library reduces graph layout computation time by 10% to 90% depending on the graph. The best part is that it is able to accomplish this without decreasing layout quality! How It works This library is based on […]
About Robert Gove
Robert is Lead Data Visualization Scientist at Two Six Labs. He is interested in designing UIs and visualizations to answer deep analytical questions, and using machine learning and statistics to enhance analysts' capabilities. Recently he has worked on several projects developing novel algorithms and UIs for large-scale graph visualization. Robert has published numerous peer-reviewed papers in visualization and cyber security. He holds a Master of Science in Computer Science from the University of Maryland, and two Bachelor of Science degrees in Computer Science and Applied Math from UNC Greensboro.
Entries by Robert Gove
Graph datasets are everywhere, and whether you call them graphs or networks, visualizing them is a challenging problem. In some sense, graph visualizations take an n-dimensional dataset and visualize it in two dimensions. (Or three dimensions, but that’s a debate for another day.) It might seem like we are losing a lot of information, but […]
SELinux and SE for Android can be a crucial part of securing a system, but the size and complexity of SELinux security policies make them challenging for security policy administrators to develop and maintain security policies. For example, the sesearch utility shows 94,420 allow rules in the 20141203 version of the Tresys reference policy. To address these challenges, we […]
Invincea Labs’s research engineers published two papers in this year’s proceedings of Visualization for Cyber Security (VizSec). The papers describe research that the authors and their teammates performed on DARPA’s Cyber Genome program for performing malware analysis at scale. In the first paper, Robert Gove and his coauthors describe their work on the Similarity Evidence […]