@article {brown_visualizing_2009,
	title = {Visualizing Varieties of Association in Orlando},
	journal = {Journal of the Chicago Colloquium on Digital Humanities and Computer Science},
	volume = {1},
	number = {1},
	year = {2009},
	note = {00002},
	abstract = {This article explores the use of visualization to interpret relational data. The authors of this article use the Orlando Women{\textquoteright}s Writing database as the source and case study for their visualizations. The article focuses on network data and use the concept of "six degrees of separation" as its motivation behind the visual graphics. Using Mandala, the authors create networks that showcase how authors are related to other authors, topics, place, organizations, and other critical features. The hidden XML tagging of the Orlando project is also used to generate connections between data points. The authors of this article argue that an effective visualization can add insight to data that is inaccessible through text alone. },
	issn = {2163-8284},
	url = {https://letterpress.uchicago.edu/index.php/jdhcs/article/view/7},
	author = {Brown, Susan and Ruecker, Stan and Radzikowska, Milena and Patey, Matt and Sinclair, St and Antoniuk, Jeffery and Farnel, Sharon and Grundy, Isobel}
}