Visualizing Data with Graphs and Maps

Graphs appear naturally in many applications. With ever increasing computing power available for scientific research, and popularity of online applications such as Facebook and Twitter, the size of graphs of interest increases exponentially with time. In this talk we discuss algorithms and challenges in visualizing large graphs. In addition, we will look at visual representation of cluster relationship in graphs and streaming text, in a way that is easy to understand for the general public. We will give examples in visualization of matrices, movies, music and tweets.

Some results of this talk can be found at http://www.research.att.com/~yifanhu/gallery.html

Speaker Bio: Yifan Hu received a BSc/MSc in Applied Mathematics from Shanghai Jiao-Tong University in 1985/1988. After a brief period of teaching at Shanghai Jiao-Tong, he went on to receive a Ph.D. in Optimization from Loughborough University in 1992. He worked as a senior scientific officer in Daresbury Laboratory between 1992 to 2001, with a short period working for Computational Dynamics in between. He joined Wolfram Research in 2001, and AT&T Labs in 2007. At present, he is a Principal Member of Technical Staff. His research interests include network/information visualization, machine learning, numerical and combinatorial algorithms and scientific computing.

Presentation Slides: PDF

Note: Visitors from outside NIST must contact Cathy Graham; (301) 975-3668; at least 24 hours in advance.