This article identifies possibilities for data visualization as art educational research practice. The author presents an analysis of the relationship between works of art and digital visual culture, employing aspects of network analysis drawn from the work of Barabási, Newman, and Watts (2006) and Castells (1994). Describing complex network dynamics as they relate to digital image data sets, the author explores notions of influence and interpretation through the language of network analysis and suggests opportunities for art education taking place within complex digital visual systems. Correspondence