Difference between revisions of "Lesson11"
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| − | <font size="5">''' | + | <font size="5">'''Network Data Visualisation and Analysis'''</font> |
| + | |||
| + | == Content == | ||
| + | |||
| + | Introduction to Graph Data Visualisation | ||
| + | * Basic principles of network graph | ||
| + | * Graph data visualisation in actions | ||
| + | |||
| + | Network Graph Data | ||
| + | * Network data sets | ||
| + | * Graph data format | ||
| + | * Graph Database | ||
| + | |||
| + | Network Graph Visualisation Tools | ||
| + | * Designer toolkit | ||
| + | ** Gephi | ||
| + | * Programmer toolkit | ||
| + | ** R packages | ||
| + | |||
| + | Graph layouts | ||
| + | * Node-and-link layouts | ||
| + | * Force-directed layout | ||
| + | * Node-only layout | ||
| + | * Adjacency matrix | ||
| + | |||
| + | Visual Attributes | ||
| + | * Key node attributes | ||
| + | * Key edge attributes | ||
| + | * Bundles, shapes, images, and more | ||
| + | |||
| + | Visual Analysis of Network Graphs | ||
| + | * Relationships | ||
| + | * Hierarchies | ||
| + | * Communities | ||
| + | * Flows | ||
| + | * Spatial networks | ||
| + | |||
| + | = Readings = | ||
| + | |||
| + | * Visual Analysis of Complex Networks for Business Intelligence with Gephi [https://hal.archives-ouvertes.fr/hal-00828795/document] | ||
| + | * Graph Drawing [http://en.wikipedia.org/wiki/Graph_drawing] | ||
| + | * Graph Analytics - Lesson Learned and Challenges Ahead [https://www.cs.umd.edu/users/ben/papers/Wong2011Graph.pdf] | ||
| + | * Learning to Read and Interpret Network Graph Data Visualizations [http://noduslabs.com/cases/learn-read-interpret-network-graphs-data-visualization/] | ||
| + | * The Visualization of Networks [http://www.vismaster.eu/news/von/] | ||
| + | * ViZster: Visualizing Online Social Networks [http://hci.stanford.edu/jheer/projects/vizster/early_design/] | ||
| + | * 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] | ||
| + | * Visual Complexity [http://www.visualcomplexity.com/vc/] | ||
| + | |||
| + | = Getting Started with Gephi = | ||
| + | |||
| + | * Webpage [http://gephi.org/] | ||
| + | * Download [http://gephi.org/users/download/] | ||
| + | * Tutorial: Quick Start [http://gephi.org/users/quick-start/], Visualization [http://gephi.org/users/tutorial-visualization/], and Layouts [http://gephi.org/users/tutorial-layouts/] | ||
| + | * Forum [http://forum.gephi.org/] | ||
| + | * [https://seinecle.github.io/gephi-tutorials/ Gephi Tutorial] | ||
| + | * [http://www.martingrandjean.ch/gephi-introduction/ GEPHI – Introduction to Network Analysis and Visualization] | ||
Revision as of 08:03, 13 February 2020
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Network Data Visualisation and Analysis
Content
Introduction to Graph Data Visualisation
- Basic principles of network graph
- Graph data visualisation in actions
Network Graph Data
- Network data sets
- Graph data format
- Graph Database
Network Graph Visualisation Tools
- Designer toolkit
- Gephi
- Programmer toolkit
- R packages
Graph layouts
- Node-and-link layouts
- Force-directed layout
- Node-only layout
- Adjacency matrix
Visual Attributes
- Key node attributes
- Key edge attributes
- Bundles, shapes, images, and more
Visual Analysis of Network Graphs
- Relationships
- Hierarchies
- Communities
- Flows
- Spatial networks
Readings
- Visual Analysis of Complex Networks for Business Intelligence with Gephi [1]
- Graph Drawing [2]
- Graph Analytics - Lesson Learned and Challenges Ahead [3]
- Learning to Read and Interpret Network Graph Data Visualizations [4]
- The Visualization of Networks [5]
- ViZster: Visualizing Online Social Networks [6]
- Adam Perer. "Finding Beautiful Insights in the Chaos of Social Network Visualizations". In Beautiful Visualization. O’Reilly Press. [7]
- Visual Complexity [8]
Getting Started with Gephi
- Webpage [9]
- Download [10]
- Tutorial: Quick Start [11], Visualization [12], and Layouts [13]
- Forum [14]
- Gephi Tutorial
- GEPHI – Introduction to Network Analysis and Visualization