Software
This page provides pointers to commonly used data analysis and visualization
algorithms. An 'IVC Software Framework' was implemented to facilitate
the easy integration of diverse software packages and their menu driven
usage. Many software packages are available in Java and hence can be run
on any platform that supports Java 1.4.
Most software packages come with
Algorithm Description
Pros & Cons
Sample Applications
Implementation Details
Usage Hints
References
Acknowledgments
IVC Software Framework
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The Information Visualization CyberInfrastructure (IVC) software framework
extends the original Information Visualization Repository (Börner
& Zhou, 2001). It is a set of libraries that provide a simple and
uniform programming-interface to algorithms and user-interface to end-users
by leveraging the power of the Eclipse
Rich Client Platform (RCP).
While the algorithms might be developed by different researchers and
implemented in different programming languages (e.g., Java, Perl, C, C++)
using different graphics, math or other packages the IVC framework facilitates
the seamless integration of those algorithms into a unified software package.
The IVC framework is unique in that it places no restrictions on the type
of data structures, algorithms or persistent data formats. By separating
out functions such as data load and store, graphical user interface, transaction
logging and inter-convertibility between data formats, the IVC lets a
programmer concentrate on developing the core code and frees her from
issues such as loading the data into the a particular data structure or
keeping track of changing results over time.
Main features of the IVC framework are easy integration of new, highly
diverse algorithms as plugins and a menu driven software interface facilitating
the wide spread usage by non programmers. Given that the IVC is completely
open-source, it allows peer-review at the algorithm level using the actual
code rather than just relying on pseudo code made available in research
publications.
The software was developed using J2SDK1.4, the Eclipse IDE, CVS for versioning
and Ant as the build tool. J2EE will be used to provide database and network
connectivity.
Read more about the IVC software framework,
check out the Javadoc, or
download the
IVC framework source code and/or executable .jar files via Sourceforge
(usage
statistics).
DOWNLOAD
The software runs on
Linux (or any Unix), and
.
We hope that the Information Visualization community will adopt the IVC
framework to create a central code repository for IV research and education.The
repository would not only facilitate sharing, evaluation, and comparison
of algorithms and software but also reduce the time and effort spent on
repeatedly re-implementing algorithms.
Assuming that competition and privacy issues can be resolved, we believe
that a central code repository will not only improve IV education and
research, but also boost creativity in IV by easing access to existing
work, consultation with others working on related topics, implementation
of new (commercial) applications (which in turn challenge the development
and improvement of the algorithms), exploration of new ideas, and, last
but not least, the dissemination of results to science (Shneiderman, 2000).
Contribute to the IVC Software Framework
If you wish to add new plugins to the IVC software framework or to make
modifications to the IVC Core, please use the code development tools provided
at the IVC Sourceforge
project page.
Preprocessing
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Parsers & Converters
Stop Word Removal
Porter Stemming Algorithm
NICE stemmer
Term Document Matrix Generator
Data Modeling
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Data Analysis |
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Vector Space Model
Developed by Gerhard Salton
Soon to be in the IVC.
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Topics Model
Developed by Tom Griffith & Mark Steyvers
Soon to be available via the IVC.
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Burst Detection
Developed by Jon Kleinberg
Code in IVC.
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Pathfinder Network Scaling
Developed by Roger Schvaneveldt
KNOT Tools for Pathfinder Network Analysis are available via
Interlink Inc.
Code in IVC.
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Multidimensional Scaling
Developed by Roger N. Shepard
Fast non-linear MDS algorithm by Matthew
Chalmers and Alistair Morrison
Code in IVC.
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Clustering: Ward's Algorithm
Developed by Ward
Code in IVC.
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Clustering: Betweenness Centrality
Developed by Ulrik Brandes
Code in IVC.
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Layout Algorithms |
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Parallel Coordinates
Developed by A. Inselberg
Code in NWB. |
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SimVis
Developed by Yuezheng Zhou
Code in IVC. |
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Spring Embedding Algorithm
Originally developed by Eades
Code in IVC. |
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Radial Tree
Implemented by Jason Baumgartner and Nihar Sheth
Code in IVC. |
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GRIDL
Designed and developed by Anne Rose, David Feldman, and Ben Shneiderman,
with software improvements by Harry Hochheiser
Code in IVC. |
Interaction Algorithms |
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Software Packages |
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GeoZui3D
Developed by Colin
Ware's Data Visualization Research Lab
It is a Zooming User Interface - hence 'Zui'. It is georeferenced
- hence GeoZui. It emphasizes interactive 3D solutions - hence GeoZui3D
Original code
is available at free of charge for non-commercial users. |
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Hierarchical Clustering Explorer
Developed by Jinwook Seo and Ben Shneiderman Original
code available via HCIL@UMD
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Time Searcher
Developed by Harry Hochheiser and Ben B. Shneiderman
Original code available via HCIL@UMD |
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Science & Technology Dynamics
Developed by Loet Leydesdorff, Amsterdam School of Communications Research (ASCoR)
http://users.fmg.uva.nl/lleydesdorff/software.htm |
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CiteSpace: Visualizing Patterns and Trends in Scientific Literature
Developed by Chaomei Chen, Drexel University
http://cluster.cis.drexel.edu/~cchen/citespace/ |
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AuthorMap
Developed by Howard White, Xia Lin, Jan Buzydlowski
http://project.cis.drexel.edu/authorlink/ |
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SONIA: Social Network Image Animator
SoNIA is currently under development by Dan McFarland and Skye Bender-deMoll.
http://www.stanford.edu/group/sonia/ |
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STARS: Space-Time Analysis of Regional Systems
Developed by Serge Rey, Robyn Clark, Boris Dev, Maribel Elias, David Folch, Myrna L. Sastré Gutiérrez, Mark V. Janikas, Xuening Li, Aarthi Ram, Charles Schmidt, Philip Stephens, Xinyue Ye - REGAL group
http://regal.sdsu.edu/index.php/Main/STARS |
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Data Visualization Components
The Community Technologies group at Microsoft Research lead by
Marc Smith has developed a set of data
visualization components for displaying data in .NET applications.
The components comprise treemap, a bubble chart, a piano roll, spire
chart, a thread tree, and a time series chart display.
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Open Source Toolkits |
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INRIA's
InfoVis Toolkit
by Jean-Daniel Fekete
Interactive Graphics Toolkit written in Java to ease the development
of Information Visualization applications and components. Reference:
Jean-Daniel Fekete, The
InfoVis Toolkit, Research Report RR-4818, INRIA Futurs, May 2003.
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University of Maryland's Piccolo
Toolkit
by Jesse Grosjean and Ben
Bederson at the HCIL@UMD
Piccolo is an toolkit for the creation of robust graphical applications
with features such as zooming and multiple representation. It is
based on the Java2D and available as OSI Certified Open Source Software.
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AT&T's GraphViz
by Stephen North, Emden Gansner, John Ellson et al.
Set of graph drawing tools for Unix or MS-Windows (win32), including
a web service interface (webdot). Source code and binary executables
for common platforms are available. |
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UC Irvine's Java
Universal Network/Graph Framework (JUNG) (http://jung.sourceforge.net/)
by Scott White, Joshua O'Madadhain, Danyel Fisher and Yan-Biao Boey
Java-based open-source software library designed to support the modeling,
analysis, and visualization of data that can be represented as graphs.
It comprises a wealth of algorithms developed in the fields of social
network analysis, information visualization, knowledge discovery and
data mining. |
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NetVis Module - Dynamic Visualization
of Social Networks
by Jonathon N. Cummings
The NetVis Module is a free open source web-based tool to analyze
and visualize social networks using data from csv files, online surveys,
and dispersed teams. |
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Social Network Visualizer
by Dimitris B.
Kalamaras
With SocNetV one can read, display and edit a network, determine
rudimentary network statistics, calculate network and actor properties,
and save out node positions.
Source archives are available. |
Other Resources |
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R. A language and environment for statistical computing and graphics http://www.r-project.org/.
PAJEK. A program for analyzing large networks, and arguably the best drawing
program on the market. It is free and available at: http://vlado.fmf.uni-lj.si/pub/networks/pajek/.
UCINET 6. Social Network Analysis Program http://www.analytictech.com/downloaduc6.htm.
CiteSpace.
A program by Chaomei Chen
that visualizes patterns and trends in scientific literature.
HistCite. A program by Eugene
Garfield et al. that visualizes citation graphs. See HistCite guide
and index
of HistCite Analyses.
Information Visualization Cyberinfrastructure
@ SLIS, Indiana University
Last Modified August 10, 2005 |