====== Shonan Meeting on Big Data Visual Analytics, from Nov 7 Sat until Nov 11 Wed ======

  * [[http://www.shonan-village.co.jp/svc/|Shonan Village Centrer]]

===== Načrt =====

  * osnova - drugi del ency complex
  * poudarki
    * ikone, prikazi na višjih ravneh - npr. kemija; block modeling
    * skeleti
    * slogi za prikaze omrežij
    * JSON za omrežja
    *  

===== Slides =====

  * naslov
  * kazalo
  * network = graph+data
  * Pajek approach, information overload
  * connectivity - weak, strong, acyclic, theorem, periodic, biconnected, ...
  * other: clustering, blockmodeling, modular? / disjoint; overlaping
  * sparse/dense - matrix; circular
  * cores, trees, Pathfinder
  * Google maps, chemistry
  * D3.js, styles, json format - Formats URL, visual URL
  * icons (tree, acyclic, strong, weak, not, ...)
  * temporal networks


See:

  * Julie Steele, Noah Iliinsky: Beautiful Visualization: Looking at Data through the Eyes of Experts
  * Julie Steele, Noah Iliinsky: Designing Data Visualizations

===== URLs =====

  * http://www.dataversity.net/speaker-spotlight-corey-lanum-data-visualization-graph-databases/
  * https://www.manning.com/books/visualizing-graph-data
  * http://www.meetup.com/Seattle-Visualization-SeaVis/events/221361673/
  * http://faculty.washington.edu/mikefree/divvy/
  * http://leafletjs.com/
  * http://www.biofabric.org/gallery/images/LesMizLarge.png
  * http://www.redeyechicago.com/redeye-divvy-data-challenge-2015-voting-most-beautiful-20150330-htmlstory.html
  * http://keylines.com/events-and-hangouts/future-graph-visualization
  * https://vimeo.com/64827612
  * https://www.youtube.com/watch?v=MJFle_hSSps
  * http://www.slideshare.net/Linkurious/how-to-apply-graph-analytics-for-bank-loan-fraud-detection
  * https://c.ymcdn.com/sites/www.casro.org/resource/collection/E0F10496-BE87-48E8-8746-521D403EE4A2/Paper_-_Michael_Lieberman_-_Multivariate_Solutions.pdf
  * http://www.kdnuggets.com/2015/06/top-30-social-network-analysis-visualization-tools.html
  * http://vlado.fmf.uni-lj.si/pub/networks/doc/mix/VisNets.pdf
  * http://systemg.research.ibm.com/about.html
  * http://www.cs.washington.edu/research/bigdata
  * http://www.visualcomplexity.com/vc/index.cfm?year=2009
  * http://www.slideshare.net/digitalmethods/gephi-rieder-23834788
  * http://datablick.com/tag/network-graph/
  * https://gephi.wordpress.com/tag/gsoc/
  * http://www.slideshare.net/mathieu-bastian/visualize-big-graph-data
  * http://www.slideshare.net/MichelleZhou1/vinci2013-keynote-mzhou?related=1
  * http://www.slideshare.net/ssood/patterns-of-big-social-data?related=1
  * http://www.slideshare.net/Linkurious/graph-visualization-options-and-latest-developments?related=1
  * http://www.slideshare.net/Linkurious/introduction-to-the-graph-technologies-landscape?related=2
  * http://www.slideshare.net/Linkurious/kick-start-graph-visualization-projects?related=3
  * http://jolocom.com/#graphs
  * http://cathrynploehn.com/blog/portfolio/visualizing-malicious-twitter-users-2/
  * http://cdn.oreillystatic.com/en/assets/1/event/100/Visualizing%20Big%20Graphs%20and%20Social%20Networks%20Presentation.pdf
  * http://rapidops.com/big-data-visualization-using-sigma-js/
  * http://link.springer.com/chapter/10.1007/978-3-642-36763-2_39 ; http://arxiv.org/pdf/1206.3980.pdf
  * http://www.biomedcentral.com/1471-2164/13/S7/S24/
  * http://cgcad.thss.tsinghua.edu.cn/shixia/publications/InfovisSurvey/paper.pdf
  * http://www.yasiv.com/amazon#/Search?q=peer%20review&category=Books&lang=US
  * http://www.analytics-magazine.org/january-february-2015/1196-data-visualization-the-future-of-data-visualization
  * http://connectedsocialmedia.com/6518/future-lab-3d-molecular-visualization/
  * https://abi.inf.uni-tuebingen.de/People/kohlbach/files/BALLView-ray-tracing-demo.png/view