DAG—a program that draws directed graphs
Software—Practice & Experience
Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
Discovering shared interests using graph analysis
Communications of the ACM - Special issue on internetworking
Communications of the ACM
IEEE Transactions on Visualization and Computer Graphics
Navigating large networks with hierarchies
VIS '93 Proceedings of the 4th conference on Visualization '93
3D geographic network displays
ACM SIGMOD Record
Web-Based Information Visualization
IEEE Computer Graphics and Applications
Flodar: Flow Visualization of Network Traffic
IEEE Computer Graphics and Applications
Visualization tools to support data communications and computer network courses
Journal of Computing Sciences in Colleges
Journal of Computing Sciences in Colleges
Visualizing the global topology of the MBone
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
The structure of the information visualization design space
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Case Study: E-Commerce Clickstream Visualization
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Network intrusion visualization with NIVA, an intrusion detection visual and haptic analyzer
Information Visualization
Visualising internet traffic data with three-dimensional spherical display
APVis '05 proceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 45
Progressive multiples for communication-minded visualization
GI '07 Proceedings of Graphics Interface 2007
Using self-organizing maps to build an attack map for forensic analysis
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
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The explosive growth in world-wide communications, especially the Internet, has highlighted the need for techniques to visualize network traffic. The traditional node and link network displays work well for small datasets but become visually cluttered and uninterpretable for large datasets. A natural 3D metaphor for displaying world-wide network data is to position the nodes on a globe and draw arcs between them coding the traffic. This technique has several advantages of over the traditional 2D displays, it naturally reduces line crossing clutter, provides an intuitive model for navigation and indication of time, and retains the geographic context. Coupling these strengths with some novel interaction techniques involving the globe surface translucency and arc heights illustrates the usefulness for this class of displays.