Visualization
Visualization in the Digital Humanities
Software Visualization
Journals and Conferences


- scientific visualization
- information visualization
- interactive visualization
- DH visualization
- neutral and biased visualization


Visualization

Key Readings
High Priority

A look inside the brain in real time. (n.d.). Retrieved from http://www.ted.com/talks/christopher_decharms_scans_the_brain_in_real_time
About us. (n.d.). Retrieved August 11, 2014, from http://www.gicentre.net/about/
Andrews, C., Endert, A., Yost, B., & North, C. (2011). Information visualization on large, high-resolution displays: Issues, challenges, and opportunities. Information Visualization, 10(4), 341–355. doi:10.1177/1473871611415997
Audio:Visual:Motion [REDUX] - Contributor & Programme Details. (n.d.). Retrieved from http://www.codecreatives.info/audiovisualmotion-redux-contributor-programme-details/
Beale, G. (2013, November 22). Making Digital: Visual Approaches to the Digital Humanities. Retrieved August 26, 2014, from http://journalofdigitalhumanities.org/2-3/making-digital-visual-approaches-to-the-digital-humanities/
Bederson, B. B., & Shneiderman, B. (2003). The Craft of Information Visualization: Readings and Reflections. Morgan Kaufmann.
Bertini, E., & ACM Digital Library. (2008). Proceedings of the 2008 conference on BEyond time and errors novel evaLuation methods for Information Visualization. New York, NY: ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1377966
Big Data & Distant Reading Visualized Into Art. (n.d.). Retrieved from http://5702x.graeworks.net/?p=437
Carenini, G., Conati, C., Hoque, E., Steichen, B., Toker, D., & Enns, J. (2014). Highlighting interventions and user differences: informing adaptive information visualization support. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (pp. 1835–1844). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2557141
Chakrabarty, M. M., & Mendonça, D. (2010). Information Visualization in Computing and Related Sciences: Evidence from Top Journals. Journal of Information Technology Theory and Application (JITTA), 11(2), 3.
Chen, C. (2006). Information Visualization: Beyond the Horizon. Springer Science & Business Media.
Chi, E. H. (2000). A taxonomy of visualization techniques using the data state reference model. In Information Visualization, 2000. InfoVis 2000. IEEE Symposium on (pp. 69–75). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=885092
Constructing Visuals — Tables, Graphs, and Visualizations. (n.d.). Retrieved August 11, 2014, from http://wps.pearsoncustom.com/pls_1256647969_pwo/217/55692/14257338.cw/content/index.html
Corby{“id”:3429223, T., first_name“:”Tom, last_name“:”Corby, page_name“:”TomCorby, domain_name“:”westminster, Corby", “display_name”:"Tom, … Member"}. (n.d.). Landscapes of Feeling, Arenas of Action: Information Visualization as Art Practice. Retrieved August 11, 2014, from http://www.academia.edu/3310911/Landscapes_of_Feeling_Arenas_of_Action_Information_Visualization_as_Art_Practice
Demos - JavaScript InfoVis Toolkit. (n.d.). Retrieved August 11, 2014, from http://philogb.github.io/jit/demos.html
Digital MediaArts Numériques | Scoop.it. (n.d.). Retrieved August 11, 2014, from http://www.scoop.it/t/arts-numeriques
Edward Tufte: Books - The Visual Display of Quantitative Information. (n.d.). Retrieved August 11, 2014, from http://www.edwardtufte.com/tufte/books_vdqi
Elmqvist, N., Moere, A. V., Jetter, H.-C., Cernea, D., Reiterer, H., & Jankun-Kelly, T. (2011). Fluid interaction for information visualization. Information Visualization, 10(4), 327–340. doi:10.1177/1473871611413180
From Visualization to Visually Enabled Reasoning. (2007). Retrieved from http://www.purdue.edu/discoverypark/vaccine/assets/pdfs/publications/pdf/From%20Visualization%20to%20Visually.pdf
Gleicher, M., Albers, D., Walker, R., Jusufi, I., Hansen, C. D., & Roberts, J. C. (2011). Visual comparison for information visualization. Information Visualization, 10(4), 289–309.
Glitchmachines - Forward Thinking Audio Software & Sound Effects. (n.d.). Retrieved from http://www.glitchmachines.com/
Hullman, J., Drucker, S., Henry Riche, N., Lee, B., Fisher, D., & Adar, E. (2013). A deeper understanding of sequence in narrative visualization. Visualization and Computer Graphics, IEEE Transactions on, 19(12), 2406–2415.
Information Visualization. (n.d.). Retrieved August 11, 2014, from http://www.researchgate.net/journal/1473-8716_Information_Visualization
Is Pivot a turning point for web exploration? (n.d.). Retrieved from http://www.ted.com/talks/gary_flake_is_pivot_a_turning_point_for_web_exploration
Isenberg, P., Zuk, T., Collins, C., & Carpendale, S. (2008). Grounded Evaluation of Information Visualizations. In Proceedings of the 2008 Workshop on BEyond Time and Errors: Novel evaLuation Methods for Information Visualization (pp. 6:1–6:8). New York, NY, USA: ACM. doi:10.1145/1377966.1377974
JavaScript InfoVis Toolkit. (n.d.). Retrieved August 11, 2014, from http://philogb.github.io/jit/
Kerren, A., Stasko, J. T., Fekete, J.-D., North, C., Fekete, J.-D., Kerren, A., … Stasko, J. T. (2007). 07221 Abstracts Collection–Information Visualization-Human-Centered Issues in Visual Representation, Interaction, and Evaluation. In Information Visualization-Human-Centered Issues in Visual Representation, Interaction, and Evaluation. Retrieved from http://drops.dagstuhl.de/opus/volltexte/2007/1136/
Kosara, R. (2007). Visualization criticism-the missing link between information visualization and art. In Information Visualization, 2007. IV’07. 11th International Conference (pp. 631–636). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4272046
L01_Taxonomy.pdf. (n.d.). Retrieved from http://vis.cs.pitt.edu/teaching/cs2620/lectures/L01_Taxonomy.pdf
Lam, H., Bertini, E., Isenberg, P., Plaisant, C., & Carpendale, S. (2012). Empirical studies in information visualization: Seven scenarios. Visualization and Computer Graphics, IEEE Transactions on, 18(9), 1520–1536.
Lam, H., Bertini, E., Isenberg, P., Plaisant, C., Carpendale, S., & others. (2011). Seven guiding scenarios for information visualization evaluation. Retrieved from http://hal.archives-ouvertes.fr/hal-00723057/
Leydesdorff, L. (2007). Visualization of the citation impact environments of scientific journals: An online mapping exercise. Journal of the American Society for Information Science and Technology, 58(1), 25–38.
Liu, A. (2012). The state of the digital humanities: A report and a critique. Arts and Humanities in Higher Education, 11(1-2), 8–41. doi:10.1177/1474022211427364
Making sense of too much data. (n.d.). Retrieved from http://www.ted.com/playlists/56/making_sense_of_too_much_data
Mazza, R. (2009). Introduction to Information Visualization. Springer Science & Business Media.
Medler, B., & Magerko, B. (2011). Analytics of play: Using information visualization and gameplay practices for visualizing video game data. Parsons Journal for Information Mapping, 3(1), 1–12.
NASA Visualization Explorer - Home. (n.d.). Retrieved August 11, 2014, from http://svs.gsfc.nasa.gov/nasaviz/
PNNL: Information Visualization and Visual Analytics. (n.d.). Retrieved August 11, 2014, from http://vis.pnnl.gov/
Purchase, H. C., Andrienko, N., Jankun-Kelly, T. J., & Ward, M. (2008). Theoretical foundations of information visualization. In Information Visualization (pp. 46–64). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-540-70956-5_3
Raveler, T. (n.d.). Get the picture? The science behind why information visualization is so effective. « Unravel the Law. Retrieved from https://blog.ravellaw.com/?p=164
Research Area – Information Visualization & Visual Analytics | School of Interactive Computing. (n.d.). Retrieved August 11, 2014, from http://www.ic.gatech.edu/research/infovis
Rhyne, T.-M., Tory, M., Munzner, T., Ward, M., Johnson, C., & Laidlaw, D. H. (2003). Information and scientific visualization: Separate but equal or happy together at last. In Visualization Conference, IEEE (pp. 115–115). IEEE Computer Society. Retrieved from http://www.computer.org/csdl/proceedings/ieee_vis/2003/2030/00/20300115.pdf
Shneiderman, B. (2012). Challenges for information visualization research: Visual quality and data quantity. In Pacific Visualization Symposium (PacificVis), 2012 IEEE (pp. x–x). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6183566
Stanford Vis Group | Design Considerations for Collaborative Visual Analytics. (n.d.). Retrieved August 11, 2014, from http://vis.stanford.edu/papers/design-considerations-ivj
Stephen Anderson. (17:26:19 UTC). Quest for Emotional Engagement: Information Visualization (v1.5). Economy & Finance. Retrieved from http://www.slideshare.net/stephenpa/quest-for-emotional-engagement-information-visualization-v15
Stunning data visualization in the AlloSphere. (n.d.). Retrieved from http://www.ted.com/talks/joann_kuchera_morin_tours_the_allosphere
taxonomy of visualization. (n.d.).
The 36 best tools for data visualization | Web design | Creative Bloq. (n.d.). Retrieved August 11, 2014, from http://www.creativebloq.com/design-tools/data-visualization-712402
The beauty of data visualization. (n.d.). Retrieved from http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization
The best stats you’ve ever seen. (n.d.). Retrieved from http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen
The National Security Agency’s Review of Emerging Technologies: An Information Visualization Primer and Field Trip. (n.d.). Retrieved from http://www.nsa.gov/research/tnw/tnw172/articles/pdfs/TNW_17_2_Web.pdf
Topics in Information Visualization and Visual Analytics – Dr. Dirk Zeckzer. (n.d.). Retrieved from http://www-hagen.informatik.uni-kl.de/~alzokari/iivva/pdf/TopicsOnInformationVisualization-C1-Introduction.pdf
Tory, M. (n.d.). (Information) Visualization. Retrieved from https://connex.csc.uvic.ca/access/content/group/4bda4e23-0e71-4c0d-98b2-5565a8d09f75/web/notes/01_intro_slides.pdf
Tory, M., & Moller, T. (2004). Rethinking visualization: A high-level taxonomy. In Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on (pp. 151–158). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1382903
Turning powerful stats into art. (n.d.). Retrieved from http://www.ted.com/talks/chris_jordan_pictures_some_shocking_stats
Vande Moere, A., Tomitsch, M., Wimmer, C., Christoph, B., & Grechenig, T. (2012). Evaluating the effect of style in information visualization. Visualization and Computer Graphics, IEEE Transactions on, 18(12), 2739–2748.
Visual Business Intelligence - Information visualization for the masses – the dialogue continues. (n.d.). Retrieved from http://www.perceptualedge.com/blog/?p=199
Visualization.pdf. (n.d.). Retrieved from http://www.cs.kent.edu/~zhao/vis13/lectures/Visualization.pdf
Visualizing Static and Dynamic Relations in Information Hierarchies. (n.d.). Retrieved from http://ubt.opus.hbz-nrw.de/volltexte/2010/600/pdf/michaelburchdiss.pdf
Walny, J., Carpendale, S., Riche, N. H., Venolia, G., & Fawcett, P. (2011). Visual thinking in action: Visualizations as used on whiteboards. Visualization and Computer Graphics, IEEE Transactions on, 17(12), 2508–2517.
Zoss, A. (n.d.). LibGuides. Introduction to Data Visualization. Visualization Types. Retrieved August 10, 2014, from http://guides.library.duke.edu/vis_types


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Visualization in the Digital Humanities

Key topics:
neutral/positioned design
media/research object, data, metadata
approaches to various data types DH

Key Reading:
Manovich, L. (2012). Visualization Methods for Media Studies. Oxford Handbook of Sound and Image in Digital Media. Retrieved from http://softwarestudies.com/cultural_analytics/Manovich.Visualization_Methods_Media_Studies.pdf

Annotation
The author synthesizes previous key theoretical points from previous articles (by the author). Starting with an overview of the milestones of visualization, mentioning that the history is still unwritten, the author describes "design neutrality" in comparison to artistic visualization (making a statement) noting that novel techniques used for visualization are rare within artistic visualization, yet it's significance, "relevant for (the) humanities is problematizing the standard visualization process, and specifically the translation of some “reality” into data." A key point that is central to the paper is combining microscopic and telescopic vision, close reading and distant reading – “reading” the actual artifacts and “reading” larger patterns abstracted from very large sets of these artifacts". In the Humanities the data used is not a priori, yet must be extracted from research object. This process of translating media into data is not standardized, often needs to be invented, requires specialized knowledge of "the object", and is not a substitute for experiencing the object itself - distant and close reading lead to different knowledge. Once the data has been extracted one can add new metadata by hand or use computational algorithms to extract features from the data. Most time, for a thorough analysis, both techniques are required for "natural languages are powerful tools for describing representational and narrative content of media, they do not work as well to describe visual form."

Tags: neutral/biased representation, media vs text objects, processing data

Sinclair, S., Ruecker, S., & Radzikowska, M. (2013). Information Visualization for Humanities Scholars. In K. M. Price & R. Siemens (Eds.), Literary Studies in the Digital Age. Modern Language Association of America. Retrieved from http://dlsanthology.commons.mla.org/information-visualization-for-humanities-scholars/

Annotation
The author discusses information visualization for the humanities and begins by stating that visualization that presents a fixed single representation of the data is not the best approach but rather a presentation that allow one to examine the data from many "reasonable and original perspectives as possible" such as to "develop convincing interpretations". An overview of the difference between static and interactive visualization is provided followed by examples of exemplar visualizations used in the humanities (Many Eyes, Bubblelines Interface, Inaugural words: 1789 to the Present, The State of the Union Address, DiRT List, TAPoRware, ) that leads to a discussion on exploratory interfaces. The author provides an extensive overview of the existing types of visualizations, the systems used to create them, and the strategy used to approach the data.The author traverses the topics, browsing by grouping, revealing features, time and space, typographical form as interactive visualization, and interactive graphs providing extensive examples for each. A particular noteworthy example is within the "Revealing Features" section that describes systems that "take advantage of more than one tool in sequence"..."which guide the researcher through a process where some steps are facilitated by tools and others are manual, and different kinds of data are accessed or produced with each step." //TAPoR// (Text Analysis Portal for Resarch), //MONK//, and //JiTR// (Just-in-Time Research)

Tags: neutral/biased representation, interactive visualization, approaches to dealing with different types of data


Viégas, F. B., & Wattenberg, M. (2007). Artistic data visualization: Beyond visual analytics. In Online Communities and Social Computing (pp. 182–191). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-540-73257-0_21

Annotation
The author provides an overview with examples of Artistic Visualization (AV). Understanding data visualization as a tool to support analytic reasoning and "dispassionate analysis" the author presents AV, a process with similar if not the same techniques yet with different motivations and creations. The definition of AV is provided as "visualizations of data done by artists with the intent of making art. This definition may seem like a tautology, but in fact it specifies a coherent and interesting class of work", with two caveats; the artworks must be based on actual data, and that the "definition avoids the issue of beauty: we do not contend that beautiful scientific visualizations are automatically artistic, or that visualization art must be pretty.Thus a microscope photograph taken as part of a scientific experiment would not qualify under our definition: no matter how beautiful the colors, the photograph would lack artistic intent." This is followed by an overview of four AV projects, Power of Colored Pixels, Power of Numbers, Last Clock, and They Rule. "All these projects share one characteristic that distinguishes them from traditional visualization tools: Each embodies a forceful point of view. In a sense, the artworks derive their power from the fact that the artists are committing various sins of visual analytics. It is worth reviewing the projects in this light." A strong argument for visualizations that are positioned - that is, have a statement to make - is made throughout the paper, which is made stronger with the language that is chosen to represent non AV. This seems justified for as the author notes "it is generally impossible to create a visualization that is truly neutral", yet, I would have liked there to be more discussion on the rationale behind this claim as it relates to the decisions made to take a particular position, for within the DH and Humanities the outcome is not to remain neutral but to have an informed position (the most informed possible) which requires the information to be presented as neutral as possible such as explore the data (interactively if possible) such that data visualization states can be compared - such that the appropriate (whatever that means) position can be taken and argued for with help from the visualizations. This end critique is not to undermine AV, not at all, but a request of further explanation for such a strong position against non AV.

Tags: neutral/biased representation,

Top Priority:
A Guide to the Quality of Different Visualization Venues. (n.d.). Retrieved August 11, 2014, from http://eagereyes.org/blog/2013/a-guide-to-the-quality-of-different-visualization-venues
Agents for Actors: A Digital Humanities framework for distributed microservices for text linking and visualization. (n.d.). Retrieved August 26, 2014, from http://dh2013.unl.edu/abstracts/ab-174.html
Allen, R. B. (2011). Visualization, causation, and history. In Proceedings of the 2011 iConference (pp. 538–545). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1940835
Amin, A., Hildebrand, M., van Ossenbruggen, J., & Hardman, L. (2010). Designing a thesaurus-based comparison search interface for linked cultural heritage sources. In Proceedings of the 15th international conference on Intelligent user interfaces (pp. 249–258). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1720005
Athenikos, S. J., & Lin, X. (2009). Visualizing intellectual connections among philosophers using the hyperlink & semantic data from Wikipedia. In Proceedings of the 5th International Symposium on Wikis and Open Collaboration (p. 21). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1641342
Beale, G. (2013, November 22). Making Digital: Visual Approaches to the Digital Humanities. Retrieved August 26, 2014, from http://journalofdigitalhumanities.org/2-3/making-digital-visual-approaches-to-the-digital-humanities/
Bingenheimer, M., Hung, J.-J., & Wiles, S. (2011). Social network visualization from TEI data. Literary and Linguistic Computing, 26(3), 271–278. doi:10.1093/llc/fqr020
Birchall, C. (2011). Introduction to “Secrecy and Transparency”: The Politics of Opacity and Openness. Theory, Culture & Society, 28(7-8), 7–25. doi:10.1177/0263276411427744
Borgman, C. L. (2009). The Digital Future is Now: A Call to Action for the Humanities, 3(4). Retrieved from http://digitalhumanities.org/dhq/vol/3/4/000077/000077.html
Ciuccarelli, P. (2014). Mind the Graph: From Visualization to Collaborative Network Constructions. Leonardo, 47(3), 268–269.
Clement, T. (2012). Methodologies in the digital humanities for analyzing aural patterns in texts. In Proceedings of the 2012 iConference (pp. 287–293). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2132213
Computational journalism. (n.d.). Retrieved August 26, 2014, from http://dl.acm.org.libaccess.lib.mcmaster.ca/citation.cfm?id=2001288
Computing and Visualizing the 19th-Century Literary Genome | Digital Humanities 2012. (n.d.). Retrieved August 17, 2014, from http://www.dh2012.uni-hamburg.de/conference/programme/abstracts/computing-and-visualizing-the-19th-century-literary-genome/
course schedule: Big Data, Visualization, and Digital Humanities.Spring 2013. GC CUNY - Google Docs. (n.d.). Retrieved August 11, 2014, from https://docs.google.com/document/d/1Mf6qlFNqwLLvVPlWAOy0eK3HfbgLlJgIJSyEImM4uSg/edit
Data Visualization | Digital Humanities - DH. (n.d.). Retrieved August 17, 2014, from http://dh.fbk.eu/taxonomy/term/3
DH Awards 2013 Results | Digital Humanities Awards. (n.d.). Retrieved from http://dhawards.org/dhawards2013/results/
dhresourcesforprojectbuilding [licensed for non-commercial use only] / Digital Humanities Tools. (n.d.). Retrieved August 17, 2014, from http://dhresourcesforprojectbuilding.pbworks.com/w/page/69244319/Digital%20Humanities%20Tools
Don, A., Zheleva, E., Gregory, M., Tarkan, S., Auvil, L., Clement, T., … Plaisant, C. (2007). Discovering interesting usage patterns in text collections: integrating text mining with visualization. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (pp. 213–222). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1321473
Dörk, M., Comber, R., & Dade-Robertson, M. (2014). Monadic exploration: seeing the whole through its parts (pp. 1535–1544). ACM Press. doi:10.1145/2556288.2557083
Driving Next Generation Digital Humanities | WestGrid. (n.d.). Retrieved August 17, 2014, from https://www.westgrid.ca/research-showcase/geoffrey_rockwell
Drouin, J. (2014). Close- And Distant-Reading Modernism: Network Analysis, Text Mining, and Teaching The Little Review. The Journal of Modern Periodical Studies, 5(1), 110–135.
Drucker, J. (2004). Speculative Computing: Aesthetic Provocations in Humanities Computing. In A Companion to Digital Humanities. Retrieved from http://digitalhumanities.org:3030/companion/view?docId=blackwell/9781405103213/9781405103213.xml&chunk.id=ss1-4-10&toc.depth=1&toc.id=ss1-4-10&brand=9781405103213_brand&query=speculative#
Drucker, J. (2011). Humanities approaches to graphical display. Digital Humanities Quarterly, 5(1). Retrieved from http://www.johannadrucker.com/pdf/hum_app.pdf
Editors’ Choice: A Text-Mining and Visualization Roundup | Digital Humanities Now. (n.d.). Retrieved from http://digitalhumanitiesnow.org/2012/12/editors-choice-a-text-mining-and-visualization-roundup/
Elwood, S. (2011). Geographic Information Science: Visualization, visual methods, and the geoweb. Progress in Human Geography, 35(3), 401–408. doi:10.1177/0309132510374250
Embracing the Ambiguity and Potential of Data Science. (2013). Retrieved from http://journals1.scholarsportal.info.libaccess.lib.mcmaster.ca/pdf/09332480/v26i0004/46_tacitcaapods.xml
Getto, G., & Silva, M. L. (2012). Doing multimodal research the easy way: A workflow for making sense of technologically complex communication situations. In Proceedings of the 30th ACM international conference on design of communication (pp. 89–94). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2379075
How to Calculate the ROI for Data Visualization Tools | Tech Trends Journal. (n.d.). Retrieved August 11, 2014, from http://www.thomasnet.com/journals/techtrends/articles/how-to-calculate-the-roi-for-data-visualization-tools
Images by Circos in Publications: Newspapers, Magazines, Books and Journals CIRCOS Circular Genome Data Visualization. (n.d.). Retrieved August 11, 2014, from http://circos.ca/intro/published_images/
Jessop, M. (2008). Digital visualization as a scholarly activity. Literary and Linguistic Computing, 23(3), 281–293. doi:10.1093/llc/fqn016
Johanson, C. (2009). Visualizing history: Modeling in the eternal city. Visual Resources, 25(4), 403–418.
Kenderdine, S., Lancaster, L., Lan, H., & Gremmler, T. (2011). Omnidirectional 3D Visualization for the Analysis of a Large-Scale Corpus: Tripitaka Koreana. In 2011 Second International Conference on Culture and Computing (Culture Computing) (pp. 27–32). doi:10.1109/Culture-Computing.2011.14
Lattice Uncertainty Visualization: Understanding Machine Translation and Speech Recognition | Dr. Christopher Collins. (n.d.). Retrieved August 14, 2014, from http://vialab.science.uoit.ca/portfolio/lattice-uncertainty-visualization-understanding-machine-translation-and-speech-recognition
Leydesdorff, L., & Salah, A. A. A. (2010). Maps on the basis of the Arts & Humanities Citation Index: The journals Leonardo and Art Journal versus “digital humanities” as a topic. Journal of the American Society for Information Science and Technology, 61(4), 787–801.
Lin, J., Gholami, M., & Rao, J. (2014). Infrastructure for supporting exploration and discovery in web archives. In Proceedings of the companion publication of the 23rd international conference on World wide web companion (pp. 851–856). International World Wide Web Conferences Steering Committee. Retrieved from http://dl.acm.org/citation.cfm?id=2579045
Liu, A. (2012). The state of the digital humanities: A report and a critique. Arts and Humanities in Higher Education, 11(1-2), 8–41. doi:10.1177/1474022211427364
Mazieres, A., & Huron, S. (2013). Toward Google Borders. In Proceedings of the 5th Annual ACM Web Science Conference (pp. 244–247). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2464525
McCosker, A., & Wilken, R. (2014). Rethinking “big data” as visual knowledge: the sublime and the diagrammatic in data visualisation. Visual Studies, 29(2), 155–164. doi:10.1080/1472586X.2014.887268
Muralidharan, A., & Hearst, M. A. (2013). Supporting exploratory text analysis in literature study. Literary and Linguistic Computing, 28(2), 283–295. doi:10.1093/llc/fqs044
O’Halloran, K. L., E, M. K. L., Podlasov, A., & Tan, S. (2013). Multimodal digital semiotics: the interaction of language with other resources. Text & Talk, 33(4-5). doi:10.1515/text-2013-0030
Penn Humanities Forum | Digital Humanities Forum Events. (n.d.). Retrieved August 17, 2014, from http://humanities.sas.upenn.edu/dhf/events.shtml
Pilz, T., Philipsenburg, A., & Luther, W. (2007). Visualizing the evaluation of distance measures. In Proceedings of Ninth Meeting of the ACL Special Interest Group in Computational Morphology and Phonology (pp. 84–92). Association for Computational Linguistics. Retrieved from http://dl.acm.org/citation.cfm?id=1626527
Plaisant, C., Rose, J., Yu, B., Auvil, L., Kirschenbaum, M. G., Smith, M. N., … Lord, G. (2006). Exploring erotics in Emily Dickinson’s correspondence with text mining and visual interfaces. In Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries (pp. 141–150). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1141781
Ruecker, S., Sinclair, S., & Radzikowska, M. (2007). Confidence, visual research, and the aesthetic function. Partnership: The Canadian Journal of Library and Information Practice and Research, 2(1). Retrieved from http://www.criticalimprov.com/index.php/perj/article/viewArticle/193
Shadoan, R., & Weaver, C. (2013). Visual analysis of higher-order conjunctive relationships in multidimensional data using a hypergraph query system. Visualization and Computer Graphics, IEEE Transactions on, 19(12), 2070–2079.
Stone, M. (2009). Challenge for the Humanities. Working Together or Apart: Promoting the next Generation of Digital Scholarship, 43.
Windhager, F., & Mayr, E. (2012). Cultural Heritage Cube. A Conceptual Framework for Visual Exhibition Exploration (pp. 540–545). IEEE. doi:10.1109/IV.2012.92

Yogev, S. (2014). Exploratory search interfaces: blending relevance, diversity, relationships and categories (pp. 61–64). ACM Press. doi:10.1145/2559184.2559187

Annotation
The author proposes an alternative search results layout to the top-down approach found in Google scholar, that of tiling with a center-out relevancy approach. An overview of three existing alternatives are presented (TopicNets, UNESCO digital library, and PivotPaths) followed by a brief description of the research method.

Zax, D. (n.d.). Visualizing Historical Data, And The Rise Of “Digital Humanities.” Retrieved August 17, 2014, from http://www.fastcompany.com/1758538/visualizing-historical-data-and-rise-digital-humanities

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Abello, J., Broadwell, P., & Tangherlini, T. R. (2012). Computational Folkloristics. Commun. ACM, 55(7), 60–70. doi:10.1145/2209249.2209267
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Agents for Actors: A Digital Humanities framework for distributed microservices for text linking and visualization. (n.d.). Retrieved August 26, 2014, from http://dh2013.unl.edu/abstracts/ab-174.html
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Arthur, P. L. (2009). Virtual strangers: e-research and the Humanities. Australian Cultural History, 27(1), 47–59. doi:10.1080/07288430902877882
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Audenaert, N., & Furuta, R. (2010). What humanists want: how scholars use source materials. In Proceedings of the 10th annual joint conference on Digital libraries (pp. 283–292). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1816166
Ayers, E. L., & Nesbit, S. (2011). Seeing Emancipation: Scale and Freedom in the American South. The Journal of the Civil War Era, 1(1), 3–24. doi:10.1353/cwe.2011.0013
Baca, M., & Helmreich, A. (2013). Introduction. Visual Resources, 29(1-2), 1–4. doi:10.1080/01973762.2013.761105
Barkati, K., & Rousseaux, F. (2013). Considering music production and culture management as an emerging digital ecosystem. In Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems (pp. 45–53). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2536151
Barker, E., Bissell, C., Hardwick, L., Jones, A., Ridge, M., & Wolffe, J. (2012). Colloquium: Digital technologies: Help or hindrance for the humanities? Arts and Humanities in Higher Education, 11(1-2), 185–200. doi:10.1177/1474022211428311
Beacham, R. (2012). “Anonymity is the Essence”: in Search of Adolphe Appia. New Theatre Quarterly, 28(02), 143–162. doi:10.1017/S0266464X12000243
Beale, G. (2013, November 22). Making Digital: Visual Approaches to the Digital Humanities. Retrieved August 26, 2014, from http://journalofdigitalhumanities.org/2-3/making-digital-visual-approaches-to-the-digital-humanities/
Benson, T. L. (2012). Geohistory: Crowdsourcing and Democratizing the Landscape of Battle. The Journal of the Civil War Era, 2(4), 586–597. doi:10.1353/cwe.2012.0098
Bingenheimer, M., Hung, J.-J., & Wiles, S. (2011). Social network visualization from TEI data. Literary and Linguistic Computing, 26(3), 271–278. doi:10.1093/llc/fqr020
Birchall, C. (2011). Introduction to “Secrecy and Transparency”: The Politics of Opacity and Openness. Theory, Culture & Society, 28(7-8), 7–25. doi:10.1177/0263276411427744
Bonde, S., Maines, C., Mylonas, E., & Flanders, J. (2009). The Virtual Monastery: Re-Presenting Time, Human Movement, and Uncertainty at Saint-Jean-des-Vignes, Soissons. Visual Resources, 25(4), 363–377.
Borra, E., & Rieder, B. (2014). Programmed method: developing a toolset for capturing and analyzing tweets. Aslib Journal of Information Management, 66(3), 262–278. doi:10.1108/AJIM-09-2013-0094
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Brown, M., Dobson, T., Grue, D., & Ruecker, S. (2013). Challenging new views on familiar plotlines: A discussion of the use of XML in the development of a scholarly tool for literary pedagogy. Literary and Linguistic Computing, 28(2), 199–208. doi:10.1093/llc/fqt016
Brown, T., Baldridge, J., Esteva, M., & Xu, W. (2012). The Substantial Words Are in the Ground and Sea: Computationally Linking Text and Geography. Texas Studies in Literature and Language, 54(3), 324–339. doi:10.1353/tsl.2012.0016
Brügger, N., & Finnemann, N. O. (2013). The Web and Digital Humanities: Theoretical and Methodological Concerns. Journal of Broadcasting & Electronic Media, 57(1), 66–80. doi:10.1080/08838151.2012.761699
Buckland, M. K. (2012). Interrogating Spatial Analogies Relating to Knowledge Organization: Paul Otlet and Others. Library Trends, 61(2), 271–285. doi:10.1353/lib.2012.0039
Burdick, A., & Willis, H. (2011). Digital learning, digital scholarship and design thinking. Design Studies, 32(6), 546–556. doi:10.1016/j.destud.2011.07.005
Burrows, S. (2013). In Search of Enlightenment: From Mapping Books to Cultural History. Journal for Early Modern Cultural Studies, 13(4), 3–28.
Capra, R., Golovchinsky, G., Kules, B., Russell, D., Smith, C. L., Tunkelang, D., & White, R. W. (2012). HCIR 2011: The Fifth International Workshop on Human-computer Interaction and Information Retrieval. SIGIR Forum, 45(2), 102–107. doi:10.1145/2093346.2093364
Cassel, L. (Boots), MacKellar, B., Peckham, J., Spradling, C., Reichgelt, H., Westbrook, S., & Wolz, U. (2014). Interdisciplinary computing in many forms (pp. 623–624). ACM Press. doi:10.1145/2538862.2538866
Chang, A. (2014). Approaching the Infinite Narrative: Asian Art “Now”: The Tomato Grey Artist Collective. Third Text, 28(1), 1–14. doi:10.1080/09528822.2014.869006
Chuk, E., Hoetzlein, R., Kim, D., & Panko, J. (2012). Creating socially networked knowledge through interdisciplinary collaboration. Arts and Humanities in Higher Education, 11(1-2), 93–108. doi:10.1177/1474022211426906

Ciuccarelli, P. (2014). Mind the Graph: From Visualization to Collaborative Network Constructions. Leonardo, 47(3), 268–269.

Annotation
The author discusses the shift from making visualizations to represent data for the user to interactive interfaces that allow the user to create multiple scalable visualizations as to allow for the patterns, ambiguity, and uncertain aspects of the data to be revealed to the user. The author begins by discussing the relationship of design and design practices (communication and information design) to the soft sciences (sic) noting the Digital Humanities and Computation Sociology as the most promising areas. "The contribution of Communication(and Information) Design is twofold: on one hand it can support the exploration of the often dark and uncertain matter of historical data and digital traces, and let the patterns emerge; on the other hand Communication and Information Design can help bringing complex scientific issues into the hands of non-expert stakeholders: people that are neither expert of the domain of interest nor familiar with the very nature, the structure and the dynamics of complexity." The author refers to Actor-Network Theory in discussing the move from "the production of static "atlases" to activation of a navigation process", using 'Mapping of the Republic of Letters' (MRofL) and the EMAPS project (also in MRfoL) as examples. "(I)nterfaces become performative environments where scholars can play with the data and build their own interpretations, mingling“reading” and “making”, “thinking” and “building” [9]. The result is a speculative process that shares some of the peculiarities of the design practices: the interface becomes a design tool."

Clement, T. (2012). Methodologies in the digital humanities for analyzing aural patterns in texts. In Proceedings of the 2012 iConference (pp. 287–293). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2132213
Clement, T. E. (2012). Half-Baked: The State of Evaluation in the Digital Humanities. American Literary History, 24(4), 876–890.
Clement, T., Tcheng, D., Auvil, L., Capitanu, B., & Barbosa, J. (2013). Distant Listening to Gertrude Stein’s “Melanctha”: Using Similarity Analysis in a Discovery Paradigm to Analyze Prosody and Author Influence. Literary and Linguistic Computing, 28(4), 582–602. doi:10.1093/llc/fqt040
Cohen, S., Hamilton, J. T., & Turner, F. (2011). Computational Journalism. Commun. ACM, 54(10), 66–71. doi:10.1145/2001269.2001288
Collins, E., Bulger, M. E., & Meyer, E. T. (2012). Discipline matters: Technology use in the humanities. Arts and Humanities in Higher Education, 11(1-2), 76–92. doi:10.1177/1474022211427421
Computational journalism. (n.d.). Retrieved August 26, 2014, from http://dl.acm.org.libaccess.lib.mcmaster.ca/citation.cfm?id=2001288
Computing and Visualizing the 19th-Century Literary Genome | Digital Humanities 2012. (n.d.). Retrieved August 17, 2014, from http://www.dh2012.uni-hamburg.de/conference/programme/abstracts/computing-and-visualizing-the-19th-century-literary-genome/
course schedule: Big Data, Visualization, and Digital Humanities.Spring 2013. GC CUNY - Google Docs. (n.d.). Retrieved August 11, 2014, from https://docs.google.com/document/d/1Mf6qlFNqwLLvVPlWAOy0eK3HfbgLlJgIJSyEImM4uSg/edit
Crandall, J. (2010). The Geospatialization of Calculative Operations: Tracking, Sensing and Megacities. Theory, Culture & Society, 27(6), 68–90. doi:10.1177/0263276410382027
Dalmau, M., & Schlosser, M. (2010). Challenges of serials text encoding in the spirit of scholarly communication. Library Hi Tech, 28(3), 345–359. doi:10.1108/07378831011076611
Data Visualization | Digital Humanities - DH. (n.d.). Retrieved August 17, 2014, from http://dh.fbk.eu/taxonomy/term/3
Deray, K., & Simoff, S. (2012). Framing Interaction through Engagement in Interactive Open Ended Environments (pp. 534–539). IEEE. doi:10.1109/IV.2012.91
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dhresourcesforprojectbuilding [licensed for non-commercial use only] / Digital Humanities Tools. (n.d.). Retrieved August 17, 2014, from http://dhresourcesforprojectbuilding.pbworks.com/w/page/69244319/Digital%20Humanities%20Tools
Di Donato, F., Morbidoni, C., Fonda, S., Piccioli, A., Grassi, M., & Nucci, M. (2013). Semantic annotation with Pundit: a case study and a practical demonstration (pp. 1–4). ACM Press. doi:10.1145/2517978.2517995
Digital Humanities at Stanford. (n.d.). Retrieved August 11, 2014, from https://digitalhumanities.stanford.edu/
Diminescu, D. (2012). Introduction: Digital methods for the exploration, analysis and mapping of e-diasporas. Social Science Information, 51(4), 451–458.
Don, A., Zheleva, E., Gregory, M., Tarkan, S., Auvil, L., Clement, T., … Plaisant, C. (2007). Discovering interesting usage patterns in text collections: integrating text mining with visualization. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (pp. 213–222). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1321473
Dörk, M., Comber, R., & Dade-Robertson, M. (2014). Monadic exploration: seeing the whole through its parts (pp. 1535–1544). ACM Press. doi:10.1145/2556288.2557083
Driving Next Generation Digital Humanities | WestGrid. (n.d.). Retrieved August 17, 2014, from https://www.westgrid.ca/research-showcase/geoffrey_rockwell
Drouin, J. (2014). Close- And Distant-Reading Modernism: Network Analysis, Text Mining, and Teaching The Little Review. The Journal of Modern Periodical Studies, 5(1), 110–135.
Drucker, J. (2004). Speculative Computing: Aesthetic Provocations in Humanities Computing. In A Companion to Digital Humanities. Retrieved from http://digitalhumanities.org:3030/companion/view?docId=blackwell/9781405103213/9781405103213.xml&chunk.id=ss1-4-10&toc.depth=1&toc.id=ss1-4-10&brand=9781405103213_brand&query=speculative#
Drucker, J. (2013a). Diagrammatic Writing. New Formations: A Journal of Culture/theory/politics, 78(1), 83–101.
Drucker, J. (2013b). Is There a “Digital” Art History? Visual Resources, 29(1-2), 5–13. doi:10.1080/01973762.2013.761106
Dubnov, S., Stuart-Thompson, B., Bezberg, E., & Eliram, E. (2011). Expressions: Inter-professional Culture via Coactive Digital Humanities Platform (pp. 171–172). IEEE. doi:10.1109/Culture-Computing.2011.50
Edelson, S. M., & Ferster, B. (2013). MapScholar: A Web Tool for Publishing Interactive Cartographic Collections. Journal of Map & Geography Libraries, 9(1-2), 81–107. doi:10.1080/15420353.2012.747463
Editors’ Choice: A Text-Mining and Visualization Roundup | Digital Humanities Now. (n.d.). Retrieved from http://digitalhumanitiesnow.org/2012/12/editors-choice-a-text-mining-and-visualization-roundup/
Ellison, K. (2013). Digital Scholarship as Handwork and Brainwork: An Early Modern History of Cryptography. Journal for Early Modern Cultural Studies, 13(4), 29–46.
Elwood, S. (2011). Geographic Information Science: Visualization, visual methods, and the geoweb. Progress in Human Geography, 35(3), 401–408. doi:10.1177/0309132510374250
Embracing the Ambiguity and Potential of Data Science. (2013). Retrieved from http://journals1.scholarsportal.info.libaccess.lib.mcmaster.ca/pdf/09332480/v26i0004/46_tacitcaapods.xml
Fischnaller, F., Singh, Y. M., & Reed, M. (2013). The Last Supper Interactive: Stereoscopic and ultra-high resolution 4K/3D HD for immersive real-time virtual narrative in Italian Renaissance Art. In Digital Heritage International Congress (DigitalHeritage), 2013 (Vol. 2, pp. 637–644). doi:10.1109/DigitalHeritage.2013.6744830
Fisher, M. M., & Swartz, A. (2014). Why Digital Art History? Visual Resources, 30(2), 125–137. doi:10.1080/01973762.2014.908098
Flaten, A. R. (2009). The Ashes2Art Project: Digital Models of Fourth-Century BCE Delphi, Greece. Visual Resources, 25(4), 345–362.
Flaten, A. R., & Gill, A. A. (2009). Digital Crossroads: New Directions in 3D Architectural Modeling in the Humanities—Overview. Visual Resources, 25(4), 309–312.
Garofalo, D. A. (2013). Tech Services on the Web: Round-Up of Selected Listservs for Tech Services Librarians. Technical Services Quarterly, 30(3), 349–351.
Geisler, G., Willard, G., & Ovalle, C. (2011). A crowdsourcing framework for the production and use of film and television data. New Review of Hypermedia and Multimedia, 17(1), 73–97. doi:10.1080/13614568.2011.552645

Getto, G., & Silva, M. L. (2012). Doing multimodal research the easy way: A workflow for making sense of technologically complex communication situations. In Proceedings of the 30th ACM international conference on design of communication (pp. 89–94). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2379075

Annotation

The author describes a framework for multimodal research drawing on a methodology know as Systemic Functional Multimodal Discourse Analysis (SF-MDA). An overview is provided discussing SF-MDA and Social Semiotic theory, workflow using SF-MDA, data collection, and analysis.

Gill, A. A. (2009). Digitizing the past: charting new courses in the modeling of virtual landscapes. Visual Resources, 25(4), 313–332.
Gloria, M. J. K., DiFranzo, D., Navarro, M. F., & Hendler, J. (2013). The performativity of data: reconceptualizing the web of data. In Proceedings of the 5th Annual ACM Web Science Conference (pp. 109–117). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2464509
Gordon, E., & Manosevitch, E. (2011). Augmented deliberation: Merging physical and virtual interaction to engage communities in urban planning. New Media & Society, 13(1), 75–95. doi:10.1177/1461444810365315
Grassi, M., Morbidoni, C., Nucci, M., Fonda, S., & Piazza, F. (2013). Pundit: augmenting web contents with semantics. Literary and Linguistic Computing, 28(4), 640–659. doi:10.1093/llc/fqt060
Gregory, I. N., & Healey, R. G. (2007). Historical GIS: structuring, mapping and analysing geographies of the past. Progress in Human Geography, 31(5), 638–653. doi:10.1177/0309132507081495
Hankins, G. A. (2014). Visualizing Modernist Magazines with Geographic Information Systems (GIS): New Approaches in the Spatial Humanities. The Journal of Modern Periodical Studies, 5(1), 69–93.
Harkema, C., & Nygren, C. (2012). Historypin for library image collections: New modes of access for unique materials at the University of Saskatchewan library. Partnership: The Canadian Journal of Library and Information Practice and Research, 7(2). Retrieved from http://synergies.lib.uoguelph.ca/index.php/perj/article/view/1970
Hattwig, D., Bussert, K., Medaille, A., & Burgess, J. (2013). Visual Literacy Standards in Higher Education: New Opportunities for Libraries and Student Learning. Portal: Libraries and the Academy, 13(1), 61–89. doi:10.1353/pla.2013.0008
Hochman, N., & Schwartz, R. (2012). Visualizing instagram: Tracing cultural visual rhythms. In Proceedings of the Workshop on Social Media Visualization (SocMedVis) in conjunction with the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM–12) (pp. 6–9). Retrieved from http://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/viewPDFInterstitial/4782/5091
Hoetzlein, R. C. (2012). Visual Communication in Times of Crisis: The Fukushima Nuclear Accident. Leonardo, 45(2), 113–118.
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Hoyt, E. (2014). Lenses for Lantern: Data Mining, Visualization, and Excavating Film History’s Neglected Sources. Film History: An International Journal, 26(2), 146–168.
Hsu, W. F. (2013). Mapping The Kominas’ sociomusical transnation: punk, diaspora, and digital media. Asian Journal of Communication, 23(4), 386–402. doi:10.1080/01292986.2013.804103
Huurdeman, H. C., Ben-David, A., & Sammar, T. (2013). Sprint methods for web archive research. In Proceedings of the 5th Annual ACM Web Science Conference (pp. 182–190). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2464513
Images by Circos in Publications: Newspapers, Magazines, Books and Journals CIRCOS Circular Genome Data Visualization. (n.d.). Retrieved August 11, 2014, from http://circos.ca/intro/published_images/
Johanson, C. (2009). Visualizing history: Modeling in the eternal city. Visual Resources, 25(4), 403–418.
Jones, S. (2012). When computers read: Literary analysis and digital technology. Bulletin of the American Society for Information Science and Technology, 38(4), 27–30.
Joyeux-Prunel, B., Dossin, C., & Adam Matei, S. (2013). Spatial (Digital) History: A Total Art History?—The A rtl@s Project. Visual Resources, 29(1-2), 47–58. doi:10.1080/01973762.2013.761119
Kandris, S. M., Devadasan, N., Mahoui, M., & Bodenhamer, D. J. (2013). The digital atlas of American religion. In Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries (pp. 457–458). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2467792
Kaufman, P. B. (2013). Oral History in the Video Age. Oral History Review, 40(1), 1–7.
Kenderdine, S., Lancaster, L., Lan, H., & Gremmler, T. (2011). Omnidirectional 3D Visualization for the Analysis of a Large-Scale Corpus: Tripitaka Koreana. In 2011 Second International Conference on Culture and Computing (Culture Computing) (pp. 27–32). doi:10.1109/Culture-Computing.2011.14
Kenderdine, S., & McKenzie, H. (2013). A war torn memory palace: Animating narratives of remembrance. In Digital Heritage International Congress (DigitalHeritage), 2013 (Vol. 1, pp. 315–322). doi:10.1109/DigitalHeritage.2013.6743755
Kim, Y.-M., Bellot, P., Faath, E., & Dacos, M. (2011). Automatic annotation of bibliographical references in digital humanities books, articles and blogs. In Proceedings of the 4th ACM workshop on Online books, complementary social media and crowdsourcing (pp. 41–48). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2064068
Kimura, F., Osaki, T., Tezuka, T., & Maeda, A. (2013). Visualization of relationships among historical persons from Japanese historical documents. Literary and Linguistic Computing, 28(2), 271–278. doi:10.1093/llc/fqs045
Küssner, M. B., & Leech-Wilkinson, D. (2013). Investigating the influence of musical training on cross-modal correspondences and sensorimotor skills in a real-time drawing paradigm. Psychology of Music, 0305735613482022.
Lang, A. (2014). Canadian Magazines and Their Spatial Contexts: Digital Possibilities and Practical Realities. International Journal of Canadian Studies, 48(1), 213–232.
Latham, S. (2011). The Mess and Muddle of Modernism: The Modernist Journals Project and Modern Periodical Studies. Tulsa Studies in Women’s Literature, 30(2), 407–428.
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Leydesdorff, L., & Salah, A. A. A. (2010). Maps on the basis of the Arts & Humanities Citation Index: The journals Leonardo and Art Journal versus “digital humanities” as a topic. Journal of the American Society for Information Science and Technology, 61(4), 787–801.
Lombardo, V., & Pizzo, A. (2013). Digital heritage and avatars of stories (pp. 1–8). ACM Press. doi:10.1145/2517978.2517991
Lunenfeld, P. (2010). Towards Visual Intellectuality: The Mediawork Pamphlet Series (An Interview by Elizabeth Guffey and Raiford Guins, Part 1). Journal of Visual Culture, 9(2), 139–161. doi:10.1177/1470412910372759
Mahlow, C., Grün, C., Holupirek, A., & Scholl, M. H. (2012). A framework for retrieval and annotation in digital humanities using XQuery full text and update in BaseX. In Proceedings of the 2012 ACM symposium on Document engineering (pp. 195–204). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2361398
Manovich, L. (2013). Visualizing Vertov. Russian Journal of Communication, 5(1), 44–55. doi:10.1080/19409419.2013.775546
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Mazieres, A., & Huron, S. (2013). Toward Google Borders. In Proceedings of the 5th Annual ACM Web Science Conference (pp. 244–247). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2464525
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Klein, L. F. (2012). American Studies after the Internet. American Quarterly, 64(4), 861–872.
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Manoff, M. (2010). Archive and Database as Metaphor: Theorizing the Historical Record. Portal: Libraries and the Academy, 10(4), 385–398. doi:10.1353/pla.2010.0005
Marshall, J., Valencia, N., & Melbourne, F. S. (2009). BioLogic Art Gallery Jury. Leonardo, 42(4), 356.
Martino, E. (2014). Open Sourcing the Colonial Archive – A Digital Montage of the History of Fernando Pó and the Bight of Biafra. History in Africa, 14(1), 387–415.
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Merrill, A. (2011). Library+. Public Services Quarterly, 7(3-4), 144–148. doi:10.1080/15228959.2011.623598
Miller, K. E. (2014). Imagine! On the Future of Teaching and Learning and the Academic Research Library. Portal: Libraries and the Academy, 14(3), 329–351.
Mimno, D., & Blei, D. (2011). Bayesian checking for topic models. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 227–237). Association for Computational Linguistics. Retrieved from http://dl.acm.org/citation.cfm?id=2145459
Mitchell, E. (2014). Trending Tech Services: Library and IT curriculum integration Part I. The case for a designed curriculum. Technical Services Quarterly, 31(2), 161–172. doi:10.1080/07317131.2014.875380
Mitchell, E. T. (2013). Research Support: The New Mission for Libraries. Journal of Web Librarianship, 7(1), 109–113. doi:10.1080/19322909.2013.757930
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Mroczek, E. (2011). Thinking Digitally About the Dead Sea Scrolls: Book History Before and Beyond the Book. Book History, 14(1), 241–269. doi:10.1353/bh.2011.0006
Notes from the Field. (2011). The Journal of Modern Periodical Studies, 2(2), iv–v.
Nowviskie, B. (2013). Skunks in the Library: A Path to Production for Scholarly R&D. Journal of Library Administration, 53(1), 53–66. doi:10.1080/01930826.2013.756698
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Paulhac, L., Ramel, J.-Y., & Makris, P. (2013). A combined topological and statistical approach for interactive segmentation of 3D images. Machine Vision and Applications, 24(6), 1239–1253. doi:10.1007/s00138-012-0477-6
Plale, B. (2013). Big data opportunities and challenges for IR, text mining and NLP (pp. 1–2). ACM Press. doi:10.1145/2513549.2514739
Presner, T. (2014). The Humanities - Bigger and Bolder. Seminar: A Journal of Germanic Studies, 50(2), 154–160.
Preston, B., & Wilson, M. W. (2014). Practicing GIS as Mixed Method: Affordances and Limitations in an Urban Gardening Study. Annals of the Association of American Geographers, 104(3), 510–529.
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Raabe, W. (2014). Estranging Anthology Texts of American Literature: Digital Humanities Resources for Harriet Beecher Stowe, Walt Whitman, and Emily Dickinson. CEA Critic, 76(2), 169–190.
Reed, B. (2014). Reinventing access. Archives and Manuscripts, 42(2), 123–132. doi:10.1080/01576895.2014.926823
Renfro, P., & Neal, J. G. (2012). The Integration of Libraries and Academic Computing at Columbia: New Opportunities for Internal and External Collaboration. Journal of Library Administration, 52(2), 162–171. doi:10.1080/01930826.2012.655594
Roberts-Smith, J. (2012). Thomas Campion’s iambic and quantitative Sapphic: Further evidence for phonological weight in Elizabethan English quantitative and non-quantitative meters. Language and Literature, 21(4), 381–401.
Robinson, L., & Bawden, D. (2013). “So wide and varied”: The origins and character of British information science. Journal of Information Science, 39(6), 754–763. doi:10.1177/0165551513492257
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Seo, J.-K., Kim, S.-H., Tak, H.-S., & Cho, H.-G. (2014). A structural analysis of literary fictions with social network framework (pp. 634–640). ACM Press. doi:10.1145/2554850.2555049
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Yang, T.-I., Torget, A. J., & Mihalcea, R. (2011). Topic modeling on historical newspapers. In Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (pp. 96–104). Association for Computational Linguistics. Retrieved from http://dl.acm.org/citation.cfm?id=2107649

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Software Visualization

Key Reading:

Beck, F., Hollerich, F., Diehl, S., & Weiskopf, D. (2013). Visual monitoring of numeric variables embedded in source code. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650545
homer, m., & Noble, J. (2013). A tile-based editor for a textual programming language. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650546

High Priority:

Abuthawabeh, A., & Zeckzer, D. (2013). IMMV: An interactive multi-matrix visualization for program comprehension. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650549
Anslow, C., Marshall, S., Noble, J., & Biddle, R. (2013). SourceVis: Collaborative software visualization for co-located environments. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–10). doi:10.1109/VISSOFT.2013.6650527
Balogh, G., & Beszedes, A. (2013). CodeMetrpolis #x2014; A minecraft based collaboration tool for developers. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650528
Beck, F., Hollerich, F., Diehl, S., & Weiskopf, D. (2013). Visual monitoring of numeric variables embedded in source code. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650545
Benomar, O., Sahraoui, H., & Poulin, P. (2013). Visualizing software dynamicities with heat maps. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–10). doi:10.1109/VISSOFT.2013.6650524
Hanjalic, A. (2013). ClonEvol: Visualizing software evolution with code clones. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650525
Minelli, R., & Lanza, M. (2013). Visualizing the workflow of developers. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650531
Palepu, V. K., & Jones, J. . (2013). Visualizing constituent behaviors within executions. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650537
Reiss, S. P., & Tarvo, A. (2013). Tool demonstration: The visualizations of code bubbles. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650521
Scanniello, G., & Erra, U. (2013). Software entities as bird flocks and fish schools. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650544
Veroy, R. L., Ricci, N. P., & Guyer, S. Z. (2013). Visualizing the allocation and death of objects. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650538

Further Resources:

Abuthawabeh, A., Beck, F., Zeckzer, D., & Diehl, S. (2013). Finding structures in multi-type code couplings with node-link and matrix visualizations. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–10). doi:10.1109/VISSOFT.2013.6650530
Dal Sassc, T., & Lanza, M. (2013). A closer look at bugs. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650542
De Pauw, W., Wolf, J., & Balmin, A. (2013). Visualizing jobs with shared resources in distributed environments. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–10). doi:10.1109/VISSOFT.2013.6650535
Elsen, S. (2013). VisGi: Visualizing Git branches. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650522
Fabry, J., & Bergel, A. (2013). Design decisions in AspectMaps. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650548
Fittkau, F., Waller, J., Wulf, C., & Hasselbring, W. (2013). Live trace visualization for comprehending large software landscapes: The ExplorViz approach. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650536
Gouveia, C., Campos, J., & Abreu, R. (2013). Using HTML5 visualizations in software fault localization. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–10). doi:10.1109/VISSOFT.2013.6650539
Guzman, E. (2013). Visualizing emotions in software development projects. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650529
Karran, B., Trumper, J., & Dollner, J. (2013). SYNCTRACE: Visual thread-interplay analysis. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–10). doi:10.1109/VISSOFT.2013.6650534
Lopez-Herrejon, R. E., & Egyed, A. (2013). Towards interactive visualization support for pairwise testing software product lines. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650543
Reiss, S. P., & Tarvo, A. (2013). Automatic categorization and visualization of lock behavior. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–10). doi:10.1109/VISSOFT.2013.6650540
Sandoval Alcocer, J. P., Bergel, A., Ducasse, S., & Denker, M. (2013). Performance evolution blueprint: Understanding the impact of software evolution on performance. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–9). doi:10.1109/VISSOFT.2013.6650523
Servant, F., & Jones, J. . (2013). Chronos: Visualizing slices of source-code history. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650547
Sharif, B., Jetty, G., Aponte, J., & Parra, E. (2013). An empirical study assessing the effect of seeit 3D on comprehension. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–10). doi:10.1109/VISSOFT.2013.6650519
Shrestha, A., Zhu, Y., & Miller, B. (2013). Visualizing time and geography of open source software with storygraph. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650532
Waller, J., Wulf, C., Fittkau, F., Dohring, P., & Hasselbring, W. (2013). Synchrovis: 3D visualization of monitoring traces in the city metaphor for analyzing concurrency. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650520
Wehrwein, B. (2013). Lightweight software reverse engineering using augmented matrix visualizations. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650541
Zhi, J., & Ruhe, G. (2013). DEVis: A tool for visualizing software document evolution. In 2013 First IEEE Working Conference on Software Visualization (VISSOFT) (pp. 1–4). doi:10.1109/VISSOFT.2013.6650526

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Journals and Conferences

http://www.wikicfp.com/cfp/home
Visualization Call For Papers for Conferences, Workshops and Journals at WikiCFP. (n.d.). Retrieved August 11, 2014, from http://www.wikicfp.com/cfp/call?conference=visualization
A Guide to the Quality of Different Visualization Venues. (n.d.). Retrieved August 11, 2014, from http://eagereyes.org/blog/2013/a-guide-to-the-quality-of-different-visualization-venues

Conferences

1st IEEE Working Conference on Software Visualization. (n.d.). Retrieved August 10, 2014, from http://icsm2013.tue.nl/VISSOFT/program/
ACM SAP. (n.d.). Retrieved August 11, 2014, from http://www.apgv.org/
Architecture, Engineering and Construction Hackathon March 14-16. (n.d.). Retrieved August 11, 2014, from http://www.siggraph.org/discover/news/architecture-engineering-and-construction-hackathon-march-14-16
cgiv2013 - Computer Graphics, Imaging and Visualization. (n.d.). Retrieved August 11, 2014, from http://www.graphicslink.co.uk/cgiv2013/
Computer Society Conference List. (n.d.). Retrieved August 11, 2014, from http://www.computer.org/csdl/proceedings/i/list.html
Conference Calls | Music Technology Group. (n.d.). Retrieved August 20, 2014, from http://www.mtg.upf.edu/research/workshops
Detailed Preparation Guidelines for PacificVis. (n.d.). Retrieved August 27, 2014, from http://www.cs.sfu.ca/~vis/Track/pacvis.html
ICIVTA Venice 2015: International Conference on Information Visualization Theory and Applications. (n.d.). Retrieved August 11, 2014, from https://www.waset.org/conference/2015/04/venice/ICIVTA
IEEE VIS 2014. (n.d.). Retrieved August 11, 2014, from http://ieeevis.org/year/2014/info/call-participation/vast-papers
Infovis: Home. (n.d.). Retrieved August 11, 2014, from http://www.infovis.org/
International Symposium on Visual Computing. (n.d.). Retrieved August 11, 2014, from http://www.isvc.net/
iV2014: international conference Information Visualisation -. (n.d.). Retrieved August 11, 2014, from http://www.graphicslink.co.uk/IV2014/
IVAPP 2015 - International Conference on Information Visualization Theory and Applications. (n.d.). Retrieved August 11, 2014, from http://www.ivapp.visigrapp.org/
International Computer Music Conference 2013. Retrieved August 20, 2014, from http://www.eventbrite.com.au/event/5863360469/efblike
SIGGRAPH conference. (n.d.). Retrieved August 11, 2014, from http://www.siggraph.org/learn/conference-content
SIGGRAPH Digital Arts. (n.d.). Retrieved August 11, 2014, from http://www.siggraph.org/connect/digital-arts
Welcome to Infovis. (n.d.). Retrieved August 11, 2014, from http://conferences.computer.org/infovis/
Welcome to NextMed / MMVR. (n.d.). Retrieved August 11, 2014, from http://www.nextmed.com/
WSCG-Computer Graphics, Visualization & Computer V. (n.d.). Retrieved August 11, 2014, from http://www.wscg.eu/

Journals

2013 Visualization Challenge. (2014). Science, 343(6171), 600–610. doi:10.1126/science.343.6171.600
About JoVE, a new movement in scientific publishing. (n.d.). Retrieved August 11, 2014, from http://www.jove.com/about
Citography: the visualization of nineteen thousand journals through their recent citations. (n.d.). Retrieved from http://www.researchtrends.com/issue26-january-2012/citography-the-visualization-of-nineteen-thousand-journals-through-their-recent-citations/
Computer Animation and Virtual Worlds - All Issues - Wiley Online Library. (n.d.). Retrieved August 11, 2014, from http://onlinelibrary.wiley.com.libaccess.lib.mcmaster.ca/journal/10.1002/(ISSN)1546-427X/issues
dblp: Journal of Visualization and Computer Animation. (n.d.). Retrieved August 11, 2014, from http://www.informatik.uni-trier.de/~Ley/db/journals/jvca/index.html
Dynamic Visualization of Biomedical Journals 2003-2012 | The Scholarly Kitchen. (n.d.). Retrieved August 11, 2014, from http://scholarlykitchen.sspnet.org/2013/07/24/dynamic-visualization-of-biomedical-journals-2003-2012/
IEEE Transactions on Visualization and Computer Graphics | Computer Society. (n.d.). Retrieved August 11, 2014, from http://www.computer.org/portal/web/tvcg
IEEE Xplore: Visualization and Computer Graphics, IEEE Transactions on. (n.d.). Retrieved August 11, 2014, from http://ieeexplore.ieee.org.libaccess.lib.mcmaster.ca/xpl/RecentIssue.jsp?punumber=2945
Information Visualization. (n.d.). Retrieved August 11, 2014, from http://ivi.sagepub.com/
Information Visualization Journal (IVS), Palgrave - InfoVis:Wiki. (n.d.). Retrieved August 11, 2014, from http://infovis-wiki.net/index.php?title=Information_Visualization_Journal_(IVS)%2C_Palgrave
International Journal of Image Processing and Data Visualization(IJIPDV). (n.d.). Retrieved August 11, 2014, from http://iartc.net/index.php/Visualization
JoSS: Journal of Social Structure. (n.d.). Retrieved August 11, 2014, from http://www.cmu.edu/joss/content/articles/volume7/deMollMcFarland/
Journal of Cheminformatics | All articles. (n.d.). Retrieved August 11, 2014, from http://www.jcheminf.com/content
Journal of Cheminformatics | Article collections | Semantic physical science. (n.d.). Retrieved August 11, 2014, from http://www.jcheminf.com/series/semantic_physical_science_2012
Journal of Flow Control,Measurement & Visualization_Biomedical & Life Sciences | Engineering_ Journals_SCIRP. (n.d.). Retrieved August 11, 2014, from http://www.scirp.org/journal/JFCMV/
Journal of Flow Visualization and Image Processing. (n.d.). Retrieved August 11, 2014, from http://www.begellhouse.com/journals/flow-visualization-and-image-processing.html
Journal of Visualization - Springer. (n.d.). Retrieved August 11, 2014, from http://link.springer.com.libaccess.lib.mcmaster.ca/journal/12650
Journal visualization project benefits from new changes. (n.d.). Retrieved from http://editorsupdate.elsevier.com/short-communications/journal-visualization-project-benefits-from-new-changes/
Parsons Journal for Information Mapping. (n.d.). Retrieved August 11, 2014, from http://piim.newschool.edu/journal/
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