Designing Multiple Relation Visualizations: Case Studies from Text Analytics
Christopher Collins (Assistant Professor of CS, University of Ontario Institute of Technology)
Datasets often have both explicit relations (e.g. citations between papers in a data set, links in a parse tree), and implicit relations (e.g. papers by the same author, words that start with the same letter). Drawing on grounding research into the real-world problems faced by computational linguists, in this talk I will explore several examples of visualizations designed to support simultaneous exploration of both explicit and implicit relations in data. I will suggest the concept of 'spatial rights' - the primacy of the spatial visual encoding, and present several methods for enhancing visualizations through adding implicit relation information without disrupting the spatialization of the explicit relation. The techniques have been generalized by others beyond the linguistic domain to be used in bioinformatics, finance, and general statistical charts.