Held at the 2nd European Summer School "Cultures & Technologies" (ESU-CT) in Leipzig, Germany, on July 28th, 2010. Thanks to everyone at the summer school for their feedback and many interesting discussions!
Studying Twitter conversations as (dynamic) graphs: visualization and structu...
Visualization in the Digital Humanities
1. Visualization in the Digital Humanities A survey Cornelius Puschmann English Department Heinrich-Heine-Universität Düsseldorf
2. all sources, tools and methods described in this presentation can be googled and wikipediad!
3. Franco Moretti Graphs, Maps, Trees (2005) Information and ideas on visualization Edwar Tufte The Visual Display of Quantitative Informantion (1983) Ben Fry Visualizing Data (2008) Aditi Muralidharan's blog Twitter Processing.org
11. is visualization... … a tool for research („cultural analytics“)? … a means of aestheticizing data? … a form of info-democratization? … just a fad? should we as digital humanists care? what forms of visualizations are being used and for what communicative purposes?
20. Dimension 1: word length Dimension 2: number of unique letters Dimesion 3: overall frequency of the word (size of the dot) Dimension 4: is the word of Anglo-Saxon (red) or Latin (blue) origin? ...and ask if a relationship exists between them
21. up to now, the data visualized has typically been quantitative
23. scientific visualization traditionally works with quantitative data (statistics) consequence: visualization must be adjusted for DH use non-numerical data multivariate data subjectively quantified data
24. R NLTK Processing.org programming/scripting GUI Many Eyes MALLET Wordle Google Charts tools
31. what can we visualize? letters words (strings) morphemes phrases clauses narrative sequences named entitites direct speech paragraphs sentences semantic roles rhetorical devices metaphors moves character descriptions pages passages we like shifting points of view
38. visualization can.. reduce complexity increase density of observable data illustrate an interpretation aestheticize data open up large datasets make an argument
39. in addition to other areas, visualization has great potential for teaching! creativity experimentation self-expression translation multilingualism analytic capabilities
difference forms of reading: - close reading - distance reading - not-reading or scanning (Matt Kirschenbaum “The Remaking of Reading: Data Mining and the Digital Humanities“)