Analyzing Social Media Networks with NodeXLWhen information visualization is smoothly integrated with statistical techniques users can make important discoveries and bold decisions. Our 20-year history in coupling direct manipulation principles with dynamic queries, coordinated multiple windows, tree-maps, time-box selectors, and other innovations has produced academic and commercial success stories such as www.Spotfire.com and www.cs.umd.edu/hcil/treemap-history. Now we've turned to the difficult problem of network analysis and visualization. The free, open-source NodeXL (www.codeplex.com/nodexl) demonstrates novel approaches to importing network data (email, website, Facebook, Twitter, Flickr, etc.), applying metrics, performing clustering, and then giving rich controls over network layouts to support exploration and presentation. BEN SHNEIDERMAN (http://www.cs.umd.edu/~ben) is a Professor in the Department of Computer Science and Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (http://www.cs.umd.edu/hcil/) at the University of Maryland. He was elected as a Fellow of the Association for Computing (ACM) in 1997, a Fellow of the American Association for the Advancement of Science (AAAS) in 2001, and a Member of the National Academy of Engineering in 2010. He received the ACM SIGCHI Lifetime Achievement Award in 2001.