Epidemiology of Ideas resources

From CIRCA

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Contents 1Research Literature 1.1Epidemiology in space and time 1.2Epidemiology beyond communicable disease 1.3Culturomics *1.4Geographic Approaches *1.5Text Analysisand Machine Learning 1.6Diffusion of Innovation theory in business 2Examples and Tools 2.1University of Chicago Knowledge Lab *2.2Tools *3Other Potentially Useful Articles *4For Followup

Research Literature

Epidemiology in space and time

• AvRuskin, Gillian A., et al. "Visualization and exploratory analysis of epidemiologic data using a novel space time information system." International Journal of Health Geographics 3.1 (2004): 26. link

Epidemiology beyond communicable disease

• Christakis, Nicholas A., and James H. Fowler. 2009. "Social network visualization in epidemiology." Norsk Epidemiologi 19(1): 5-16. link.
• Christakis, Nicholas A., and James H. Fowler. "Social network visualization in epidemiology." Norsk epidemiologi= Norwegian journal of epidemiology 19.1 (2009): 5.link.
• More articles by Christakos and his Human Nature Lab: link

Culturomics

• Michel, Jean-Baptiste, et al. "Quantitative analysis of culture using millions of digitized books." Science 331.6014 (2011): 176-182. UAlberta Library link
• Chris Harrison's visulizations gallery link. "Word Associations" and "Word Spectrum" specifically.

Geographic Approaches

• Moretti, Franco. Atlas Of The European Novel, 1800-1900 / Franco Moretti. n.p.: London : New York : Verso, 1998., 1998. UAlberta library link

Text Analysis and Machine Learning

• Plaisant, Catherine, et al. "Exploring erotics in Emily Dickinson's correspondence with text mining and visual interfaces." Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries. ACM, 2006. link
• Ruecker, S., S. Sinclair, and M. Radzikowska. "Designing data mining droplets: New interface objects for the humanities scholar." Digital Humanities Quarterly 3.3 (2009). link
• Argamon, Shlomo, and Mark Olsen. "Words, patterns and documents: experiments in machine learning and text analysis." Digital Humanities Quarterly 3.2 (2009). link

Diffusion of Innovation theory in businessDiffusion of Innovation theory in business

Examples and Tools

University of Chicago Knowledge Lab

• link
• Current Projects These are works in progress. There aren't any publications yet, but they are worth following, especially The Aesthetics of Explanation, Lives of Concepts, Optimal Matching, Representations of Knolwedge, and Schools of Thought.
• Vilhena, Daril A., et al. "Finding Cultural Holes: How Structure and Culture Diverge in Networks of Scholarly Communication." Sociological Science 1 (2014): 221-238.link
• Evans, James A., and Jacob G. Foster."Metaknowledge." Science 331, no. 6018 (February 11,2011): 721???725. [http://www.knowledgelab.org/docs/Metaknowledge.pdf link

Tools

• SocioWorks

Other Potentially Useful Articles

• Goldstone, Andrew and Ted Underwood. "The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us." (2014). link
• Goldstone, Andrew, and Ted Underwood. "What can Topic Models of PMLA Teach Us About the History of Literary Scholarship?." Journal of Digital Humanities 2.1 (2012): 39-48. link
• More articles by Underwood and Goldstone
• Ted Underwood's blog, addressing relevant ideas, often with visualizations.
• Drucker, Johanna. "Humanities approaches to graphical display." Digital Humanities Quarterly 5.1 (2011). link
• Bollen, Johan, et al. "Clickstream data yields high-resolution maps of science." PLoS One 4.3 (2009): e4803. link
• So, Richard Jean, and Hoyt Long. "Network Analysis and the Sociology of Modernism." boundary 2 40.2 (2013): 147-182. link
• Wang, Dashun, Chaoming Song, and Albert-L??szl?? Barab??si. "Quantifying long-term scientific impact." Science 342.6154 (2013): 127-132. link
• Schich, Maximilian, et al. "A network framework of cultural history." science 345.6196 (2014): 558-562. [1]

For Followup

• Stanford Lit Lab
• University of Maryland Human-Computer Interaction Lab
• MITH
• ARTFL
• Visual Display of Quantitative Information, Tufte
• The Software Studies Initiative visualizations.