Difference between revisions of "Lesson05"

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<font size="5">'''Network Data Visualisation and Analysis'''</font>
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<font size="5">'''High-dimensional Data Visualisation'''</font>
  
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== Content ==
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=Content=
  
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Introduction to Graph Data Visualisation
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* Introduction to Multivariate Data
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* Basic principles of network graph
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* Trellis
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* Graph data visualisation in actions
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* Correlation Matrix
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* Ternary Plot
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* Glyphs or Star Plot
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* Heatmap
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* Parallel Coordinate Plot
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* Treemap
  
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Network Graph Data
 
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* Network data sets
 
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* Graph data format
 
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* Graph Database
 
  
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Network Graph Visualisation Tools
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=Readings=
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* Designer toolkit
 
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** Gephi
 
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* Programmer toolkit
 
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** R packages
 
  
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Graph layouts
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==Core Readings==
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* Node-and-link layouts
 
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* Force-directed layout
 
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* Node-only layout
 
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* Adjacency matrix
 
  
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Visual Attributes
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* [http://www.perceptualedge.com/articles/b-eye/visual_multivariate_analysis.pdf An Introduction to Visual Multivariate Analysis]
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* Key node attributes
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* [https://search-proquest-com.libproxy.smu.edu.sg/docview/228501277?rfr_id=info%3Axri%2Fsid%3Aprimo Corrgrams: Exploratory Displays for Correlation Matrices]
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* Key edge attributes
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* [https://en.wikipedia.org/wiki/Ternary_plot Ternary Plot]
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* Bundles, shapes, images, and more
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* [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_8.pdf Multivariate Data Glyphs]
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* [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_25.pdf Parallel Coordinates]
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* [http://en.wikipedia.org/wiki/Heat_map Wikipedia: Heatmap]
  
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Visual Analysis of Network Graphs
 
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* Relationships
 
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* Hierarchies
 
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* Communities
 
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* Flows
 
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* Spatial networks
 
  
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= Readings =  
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==Optional Readings==
  
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* Visual Analysis of Complex Networks for Business Intelligence with Gephi [https://hal.archives-ouvertes.fr/hal-00828795/document]
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* [http://junkcharts.typepad.com/junk_charts/2010/06/the-scatterplot-matrix-a-great-tool.html The scatter-plot matrix: a great tool]
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* Graph Drawing [http://en.wikipedia.org/wiki/Graph_drawing]
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* [https://search-proquest-com.libproxy.smu.edu.sg/docview/1750838449?rfr_id=info%3Axri%2Fsid%3Aprimo A Graphical Display of Large Correlation Matrices]
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* Graph Analytics - Lesson Learned and Challenges Ahead [https://www.cs.umd.edu/users/ben/papers/Wong2011Graph.pdf]
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* [https://www.sciencedirect.com/topics/engineering/ternary-diagram Ternary Diagram]
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* Learning to Read and Interpret Network Graph Data Visualizations [http://noduslabs.com/cases/learn-read-interpret-network-graphs-data-visualization/]
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* [http://csmgeo.csm.jmu.edu/geollab/fichter/Sedrx/readternary.html Reading a Ternary Diagram]
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* The Visualization of Networks [http://www.vismaster.eu/news/von/]
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* [http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/articles/Inselberg-InfoVis97.pdf Multidimensional Detective]
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* ViZster: Visualizing Online Social Networks [http://hci.stanford.edu/jheer/projects/vizster/early_design/]
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* [https://eagereyes.org/techniques/parallel-coordinates Parallel Coordinates]
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* Adam Perer. "Finding Beautiful Insights in the Chaos of Social Network Visualizations". In '''Beautiful Visualization'''. O’Reilly Press. [http://perer.org/papers/adamPerer-BV_ch10.pdf]
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* [http://www.perceptualedge.com/articles/b-eye/parallel_coordinates.pdf Multivariate Analysis Using Parallel Coordinates]
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* Visual Complexity [http://www.visualcomplexity.com/vc/]
 
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= Getting Started with Gephi =
 
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*  Webpage [http://gephi.org/]
 
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*  Download [http://gephi.org/users/download/]
 
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* Tutorial: Quick Start [http://gephi.org/users/quick-start/], Visualization [http://gephi.org/users/tutorial-visualization/], and Layouts [http://gephi.org/users/tutorial-layouts/]
 
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* Forum [http://forum.gephi.org/]
 
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* [https://seinecle.github.io/gephi-tutorials/ Gephi Tutorial]
 
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* [http://www.martingrandjean.ch/gephi-introduction/ GEPHI – Introduction to Network Analysis and Visualization]
 

Revision as of 08:02, 13 February 2020

Vaa logo.jpg ISSS608 Visual Analytics and Applications

About

Weekly Session

Assignment

Visual Analytics Project

Course Resources

 


High-dimensional Data Visualisation

Content

  • Introduction to Multivariate Data
  • Trellis
  • Correlation Matrix
  • Ternary Plot
  • Glyphs or Star Plot
  • Heatmap
  • Parallel Coordinate Plot
  • Treemap


Readings

Core Readings


Optional Readings

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