Transcript Overview and Detail
Graphs and Networks
CS 7450 - Information Visualization March 1, 2005 John Stasko
Connections
• • • Spence’s chapter 8 is called Connectivity Connections throughout our lives and the world Circle of friends Delta’s flight plans … Model connected set as a
Graph
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What is a Graph?
• • Vertices (nodes) connected by Edges (links) 1 2 3 1 2 3 0 1 0 1 0 1 0 1 0 Adjacency matrix Adjacency list 1: 2 2: 1, 3 3: 2 1 2 Drawing 3 Spring 2005 CS 7450 3
Graph Terminology
• • • • Graphs can have
cycles
Graph edges can be
undirected directed
or The
degree
of a vertex is the number of edges connected to it In-degree and out-degree for directed graphs Graph edges can have values (
weights
them (nominal, ordinal or quantitative) ) on Spring 2005 CS 7450 4
Trees are Different
• • • • Subcase of general graph No cycles Typically directed edges Special designated root vertex Spring 2005 CS 7450 5
Graph Uses
• In information visualization, any number of data sets can be modeled as a graph US telephone system World Wide Web Distribution network for on-line retailer Call graph of a large software system Semantic map in an AI algorithm Spring 2005 CS 7450 6
Graph Visualization Problems
• • • Graph layout and positioning Make a concrete rendering of abstract graph Scale Not too much of a problem for small graphs, but large ones are much tougher Navigation How to support user changing focus and moving around the graph Spring 2005 CS 7450 7
Layout Algorithms
• • Entire research community’s focus Good references: Tutorial (talk slides) www.cs.brown.edu/people/rt/papers/gd-tutorial/gd-constraints.pdf
G. diBattista, P. Eades, R. Tamassia, and I. Tollis, Graph Drawing: Algorithms for the Visualization of Graphs , Prentice Hall, 1999.
Article by Herman et al Spring 2005 CS 7450 8
Vertex Issues
• • • • • Shape Color Size Location Label Spring 2005 CS 7450 9
General GD Information
• Good web links www.cs.brown.edu/people/rt/gd.html
www.research.att.com/sw/tools/graphviz/ rw4.cs.uni-sb.de/users/sander/html/gstools.html
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Edge Issues
• • • • Color Size Label Form Polyline, straight line, orthogonal, grid, curved, planar, upward/downward, ...
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Aesthetic Considerations
• • • • • •
Crossings
-- minimize towards planar
Total Edge Length
scale
Area
-- minimize towards proper -- minimize towards efficiency
Maximum Edge Length
edge -- minimize longest
Uniform Edge Lengths Total Bends
straight-line -- minimize variances -- minimize orthogonal towards Spring 2005 CS 7450 12
Layout Heuristics
• Layout algorithms can be planar grid-based orthogonal curved lines hierarchies circular ...
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Scale Challenge
• • May run out of space for vertices and edges (turns into “ball of string”) Can really slow down algorithm • Often use
clustering
to help Extract highly connected sets of vertices Collapse some vertices together Spring 2005 CS 7450 14
Layout Examples
• • Homework assignment Let’s judge!
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Layout Examples
• • Cool java applet http://java.sun.com/applets/jdk/1.2/demo/applets/GraphLayout/example1.html
Examples of dynamic graph layout algorithms Spring 2005 CS 7450 16
Graph Uses
• • • Facilitate understanding of complex socio economic patterns Social Science visualization gallery (Lothar Krempel): http://www.mpi-fg-koeln.mpg.de/~lk/netvis.html
Next slides: Krempel & Plumper’s study of World Trade between OECD countries, 1981 and 1992 Spring 2005 CS 7450 17
http://www.mpi-fg-koeln.mpg.de/~lk/netvis/trade/WorldTrade.html
1981
1992
Graph Uses
• • Facilitate understanding of network flows, relations Even information with a ‘geographical’ content can best appear as a ‘network’ rail maps Spring 2005 CS 7450 20
3 Subway Diagrams
• • Geographic landmarks largely suppressed on maps, except water (rivers in Paris, London) and asphalt (highways in Atlanta) Rather fitting, no?
These are more
graphs
than maps!
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Social Network Visualization
• Social Network Analysis (Linton Freeman) http://www.sfu.ca/~insna Spring 2005 CS 7450 25
People connections
Spring 2005 CS 7450 Charles Isbell, Cobot 26
Case Study
• SeeNet Visualizing network data (phone traffic) R. Becker, S. Eick and A. Wilks AT&T Spring 2005 CS 7450 27
Domain
• • • AT&T long distance phone network 110 Nodes (switches) Geographical location Connected by 12,000 links Directed, almost completely connected Data every 5 minutes EARTHQUAKE!!!
Oct. 17, 1989 Spring 2005 CS 7450 28
Questions
• • • • • • Where are the overloads?
Which links are carrying most traffic?
Was there network damage?
Is there underutilized capacity?
Are calls getting in to affected area or are there bottlenecks?
Is overload increasing or decreasing?
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Edge Drawing Strategies
116 Label Thickness Color 116 Directed 29 Spring 2005 CS 7450 30
Problems
• • Too many lines!
Occlusion Long lines become “more important” Can’t see what happens in Midwest Solutions Use half/half technique out/out Draw most important last Use thickness & color for traffic Spring 2005 CS 7450 31
Earthquake data
More Help
• Shorten all lines so as to de-emphasize transcontinental links Spring 2005 CS 7450 33
Other Applications
• • • Email How would you visualize all email traffic in CoC between pairs of people?
Solutions???
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Solutions
• • Put everyone on circle, lines between Color or thicken line to indicate magnitude Use spring/tension model People who send a lot to each other are drawn close together Shows clusters of communications Spring 2005 CS 7450 36
More Email
• How about visualizing internet traffic?
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Byte traffic into the ANS/NSFnet T3 backbone for the month of November, 1993 http://www.ncsa.uiuc.edu/SCMS/DigLib/text/technology/Visualization-Study-NSFNET-Cox.html
Inbound traffic measured in billions of bytes on the NSFNET T1 backbone for September 1991
Linux kernel
http://perso.wanadoo.fr/pascal.brisset/kernel3d/kernel3d.html
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TouchGraph
Spring 2005 CS 7450 www.touchgraph.com
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Focus of Graph
• • Particular node may be focus, often placed in center for circular layout How does one build an interactive system that allows changes in focus?
Use animation Intuition about changes not always right Spring 2005 CS 7450 42
Focus Change Animation
Straight linear interpolation of focus changes not as appealing as changes along polar coordinates Yee, Fisher, Dhamija, Hearst InfoVis ‘01 Video Spring 2005 CS 7450 43
Radial Display
• • Can we combine some of the properties of the hyperbolic graphs without the hyperbolic distortion?
Still use a radial technique with root/focus at center Spring 2005 CS 7450 44
MoireGraphs
• • • • Visual nodes (ie, images) Smooth interactions Multiple foci Versatile Jankun-Kelly & Ma InfoVis ‘03 Spring 2005 Video CS 7450 45
Case Study
• NicheWorks Interactive Visualization of Very Large Graphs Graham Wills Lucent Spring 2005 CS 7450 46
Big Graphs
• • • 20,000 - 1,000,000 Nodes Works well with 50,000 Projects Software Engineering Web site analysis Large database correlation Telephone fraud detection Spring 2005 CS 7450 47
Features
• • Typical interactive operations Sophisticated graph layout algorithm 3 Layouts Circular Hexagonal Tree 3 Incremental Algorithms Steepest Descent Swapping Repelling Spring 2005 CS 7450 48
Interface: Web Site Example
Circle layout Hexagonal layout Tree layout
Interface
Interface
Interface: Fraud Example
40,000 calls 35,000 callers
Interface: Fraud Example
More Neat Stuff
• • • http://willsfamily.org/gwills/ Lots of interesting application areas More details on NicheWorks Spring 2005 CS 7450 54
More Resources
• • Network visualization resources http://www.caida.org/projects/internetatlas/viz/ Good article on graph layout http://www.csi.uottawa.ca/ordal/papers/sander/main.html
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More to Come...
• • Topic of WWW/InfoSphere (next) will touch on graphs and networks too Lots of example visualizations Spring 2005 CS 7450 56
HW6
• • • Work with two hierarchy visualizers: SequoiaView and Grokker Understand and critique visualizations and user interfaces Shorter evaluation: <5 pages Spring 2005 CS 7450 57
Upcoming
• • WWW/Internet visualization Reading Chi et al Hierarchies & Trees Spring 2005 CS 7450 58
References
• • • Spence and CMS texts All referred to papers and web sites Dagon and Leahy, F ‘99 slides Spring 2005 CS 7450 59
Graph Uses
• • Track flows and movements of individuals in society Next slides: Krempel’s map of Duisburg zoo visitors Physical coordinates yields ‘ball of string’ merely reflecting the autobahn division of zoo Gravity solution to graph shows flow Spring 2005 CS 7450 60
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