> For the complete documentation index, see [llms.txt](https://jiemakel.gitbook.io/cl4hss/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://jiemakel.gitbook.io/cl4hss/three-approaches-to-methods-for-digital-humanities-work-area/computational-data-analysis-method-literacy.md).

# Computational data analysis method literacy

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This content is not yet complete. In the meantime, see these presentations: 

1. [Data analysis method literacy](https://docs.google.com/presentation/d/e/2PACX-1vTEAtbzLYJXn2Pp8ozrSfxmzQOxo6SfVOXpscLbgCXkeXtqpzlwlU37dmQTWEAjIUAPedbT_BG1x0Ll/pub?start=false\&loop=false\&delayms=3000) ([pdf](http://docs.google.com/presentation/d/1GfmNxZ-k4mowZvatMNXDM51cIsbr8zf_ymV9VSqO0jk/export/pdf), [gd](https://docs.google.com/presentation/d/1GfmNxZ-k4mowZvatMNXDM51cIsbr8zf_ymV9VSqO0jk/edit?usp=sharing))
2. [Data analysis method literacy 2](https://docs.google.com/presentation/d/e/2PACX-1vR4NjZkDSF_-SHOReFALXa6sOieVIDNXe5t2hiXKngZrYwvwkEHvr3tbjXaXst6eQ4UfZvwqmddn8Ri/pub?start=false\&loop=false\&delayms=3000) ([pdf](https://docs.google.com/presentation/d/1gLgX8TxwxCOeUAIUW7mz3BD0pPUKJHqb9NVi5kGmN0s/export/pdf), [gd](https://docs.google.com/presentation/d/1gLgX8TxwxCOeUAIUW7mz3BD0pPUKJHqb9NVi5kGmN0s/edit))
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**Reading assignment**

Read [this research article](https://doi.org/10.1073/pnas.1405984111) on the the civilizing process in London’s Old Bailey.
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**Reading assignment**

* Language change, simulation: [Social networks and intraspeaker variation during periods of language change](http://repository.upenn.edu/cgi/viewcontent.cgi?article=1041\&context=pwpl) + [Utterance selection model of language change](http://journals.aps.org/pre/abstract/10.1103/PhysRevE.73.046118). Also note that you can experiment yourself with the model described in the first paper [here](http://www.netlogoweb.org/launch#http://www.netlogoweb.org/assets/modelslib/Sample%20Models/Social%20Science/Language%20Change.nlogo).

* Twitter, linguistic analysis, geographical analysis: [What a Nasty day: Exploring Mood-Weather Relationship from Twitter](https://arxiv.org/abs/1410.8749) + [Mapping Lexical Innovation on American Social Media](https://doi.org/10.1177%2F0075424218793191)

   [A Biased Review of Biases in Twitter Studies on Political Collective Action](https://doi.org/10.3389/fphy.2016.00034)

* Simulation, archaeology: [Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley](https://doi.org/10.1073/pnas.092080799) + [Understanding Artificial Anasazi](http://jasss.soc.surrey.ac.uk/12/4/13.html)

* Geographic information, network analysis, archaeology: [Community structure of copper supply networks in the prehistoric Balkans: An independent evaluation of the archaeological record from the 7th to the 4th millennium BC](https://doi.org/10.1093/comnet/cnx013) + [Testing the Robustness of Local Network Metrics in Research on Archeological Local Transport Networks](http://dx.doi.org/10.3389/fdigh.2016.00006)

* History, text reuse detection: [Plundering Philosophers:Identifying Sources of the Encyclopédie](http://hdl.handle.net/2027/spo.3310410.0013.107) + [The Use and Abuse of the Digital Humanities in the History of Ideas: How to Study the Encyclopédie](http://www.tandfonline.com/doi/pdf/10.1080/01916599.2013.774115?needAccess=true) (Interestingly, first article doesn't have affiliations. Digging through, most people seem to be from [this project](https://artfl-project.uchicago.edu/content/papers-and-presentations))

* Network analysis: [Protestant Letter Networks in the Reign of Mary I: A Quantitative Approach](https://muse.jhu.edu/journals/elh/v082/82.1.ahnert.html) + [Automated analysis of the US presidential elections using Big Data and network analysis](https://doi.org/10.1177%2F2053951715572916)

* 3D/spatial analysis, archaeology: [A Survey of Geometric Analysis in Cultural Heritage](https://doi.org/10.1111/cgf.12668) + [A GIS-based viewshed analysis of Chacoan tower kivas in the US Southwest: were they for seeing or to be seen?](https://doi.org/10.15184/aqy.2016.144)

* Image recognition of woodcut prints: [Image-matching technology applied to Fifteenth-century printed book illustration](https://doi.org/10.1007/s40329-017-0201-5) / [Wormholes record species history in space and time](https://doi.org/10.1098/rsbl.2012.0926)

* Visual analysis, art history: [A Quantitative Approach to Beauty. Perceived Attractiveness of Human Faces in World Painting](https://doi.org/10.11588/dah.2015.1.21640) / [Against Digital Art History](https://humanitiesfutures.org/papers/digital-art-history/)
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* Assignments:
  * [How to Use t-SNE Effectively](https://distill.pub/2016/misread-tsne/)
  * [Visualizing K-means clustering](https://www.naftaliharris.com/blog/visualizing-k-means-clustering/) ([2](http://stanford.edu/class/ee103/visualizations/kmeans/kmeans.html))
  * Read on some small, actual work:
    * The [presentation](https://docs.google.com/presentation/d/1eTj9Vu4WoatnutrjtzpfBk6EwgRwC9YlCAzW7GvoaeA/edit) of the DHH15 key concepts of socialism group
    * The [presentation](https://prezi.com/g-0b_r604myv/dhh15-multimodality/?utm_campaign=share\&utm_medium=copy) of the DHH15 Finnair Blue Wings multimodality group
    * If you understand Finnish, the [election questionnaire analysis and visualization](https://jiemakel.github.io/vaalikonedatavisu/)