This page contains links to a manuscript and transparencies presented at the
Joint Statistical Meetings of the American Statistical Association
invited session on Network Visualization (organizer Linton Freeman)
sponsored by the Section on Statistical Graphics
Baltimore, USA, August 8th, 1999
Visualizing Networks with Spring Embedders: Two-mode and Valued Graphs
including animated algorithms programmed in Postscript with NetVis ViStA.
NetVis ViStA is a collection of Visual Structural Algorithms programmed in Postscript
NetVis ViStA will be available from this site at the end of this year .
the files come in different versions because there is a tradeoff between file size (download time) and viewing speed:
- postscript (small files , slow view and print)
the animations compute in real time in your computer while you view with ghostscript
or take a long time to print with your postscript printer .
- low-level postscript (large files , fast view and print)
these files are flat postscript : the low-level graphics output of the animations .
This allows fast viewing and printing but the uncompressed files are big !
- pdf versions (fast and very nice , but these files are very big !!)
can be viewed with Adobe Acrobat Reader, which allows to enlarge all images and animations.
How to save download time and bandwidth:
if you have access to ghostscript you can produce the low-level and the pdf versions from the original postscript files yourself:
to generate low-level files use
gs -sDEVICE=epswrite -sOUTPUTFILE=lowlevel.eps postscript.ps
to generate pdf files use
- Transparencies (including demos)
(low-level Postscript: ps.gz 0.96 MB)
( pdf: 4.8 MB(!))
- Current preliminary version of a manuscript:
(low-level Postscript: ps.gz 1 MB)
- Here is the complete animated demo with a metric spring embedder:
Ordering the Capitals of the World
A world map is produced from airline distances as they can be read from the globe.
In a second stage a monotone spacing is enforced .
(postscript: ( ps.gz: 207 KB))
(pdf: 3.2 MB !!)
- Here is some network art: GuessWhat
(postscript:(ps: 295 KB )
(postscript: (ps.gz: 31 KB )
(pdf: 6.9 MB ! 6.9MB!! )