If graph drawing is to become a methodological tool instead of an illustrative art, many concerns need to be overcome. We discuss the problems of social network visualization, and particularly, problems of dynamic network visualization. We consider issues that arise from the aggregation of continuous-time relational data ("streaming" interactions) into a series of networks. We discuss our experience developing SoNIA (Social Network Image Animator, http://sonia.stanford.edu) as a prototype platform for testing and comparing layouts and techniques, and as a tool for browsing attribute-rich network data and for animating network dynamics over time. We discuss strengths and weakness of existing layout algorithms and suggest ways to adapt them to sequential layout tasks. As such, we propose a framework for visualizing social networks and their dynamics, and we present a tool that enables debate and reflection on the quality of visualizations used in empirical research. 1 This in an equally co-authored paper (names in alphabetical order). The project was generously supported by a research incentive award given to McFarland by Stanford University's Office of Technology and Licensing (grant# 2-CDZ-108). We thank the editor and anonymous JOSS reviewers for their insightful comments, and extend special thanks to Kaisa Snellman, Ben Shaw, Ozgecan Kocak, and James Moody for their contributions at various stages of this project. We also benefited from valuable feedback from participants of James G. March’s “Monday Munch” at Stanford University and participants at the satellite symposium run by Tom Snijders, “Dynamics of Networks and Behavior,” in Portoroz, Slovenia (2004). Please send all correspondence to Daniel A. McFarland, 485 Lasuen Mall, Stanford, CA 94305 (firstname.lastname@example.org).