Science Maps (visualizations of the structure of the scientific literature) have a history going back several decades.  These maps are traditionally presented as networks.  In this presentation, we look at advances in science mapping.  We focus particularly on how one assesses whether a science map is accurate.  We conclude with challenges for the future that may contribute to more accurate network visualizations.

Dick Klavans has a consulting business that focuses on the use of science maps.  He's presently helping to set up a science mapping lab at UCSD.  Past clients include major pharmaceutical firms and government labs. He is an active researcher (with publications in JASIST and Scientometrics). His maps are in the permanent map collection of the New York Public Library, part of a tour (organized by Katy Borner, Head of the Visualization Lab at the Univ. of Indiana) and appeared in Nature magazine last December.