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The JUNG (Java Universal Network/Graph) project is proud to announce the
release of JUNG 1.4--the free, programmable, extensible social network
For programmers with some knowledge of Java, JUNG continues to be the
easiest way to write your own graph analysis code, to re-run functions
repeatedly, and to create visualizations quickly and easily.
The latest release features support for mixed-mode graphs with both
directed and undirected edges; parallel edges; and k-partite graphs. It
has improved support for Pajek .net format input and output, and a
subset system to store parts of the graphs in clusters.
Demonstrations are available at
(Check out, in particular, the "Bipartite Graph Applet"--it's a
visualization of Davis/Gardner/Gardner's Southern Women dataset. It
interactively shows what happens when you remove certain parties from
JUNG continues to feature algorithms for centrality, structural
equivalence, and ranking; and includes the ability to filter out
vertices from graphsa easily.
JUNG is a free, open-source programming framework for implementing graph
and social network solutions in Java. It is intended for programmers who
are interested in being able to programatically manipulate graphs, by
iterating commands on them, dynamically modifying them, and visualizing
the results. While the JUNG framework provides many algorithms and tools
for graphs, it allows many other possible uses, and allows you to add
your own algorithms.
JUNG has been successfully used...
... to create visual applets
... to read data from JDBC (database) connections
... to handle social network datasets, including very large (100,000
plus nodes) ones
... to write out data that can be read by PAJEK and UCINET
... for stastical analyses, network measures, and visualizations
We invite you to try out JUNG, and to let us know whether you find it
helpful. We are also looking to expand our body of code and alogrithms,
and would be delighted to have your contributions.
on behalf of the JUNG Development Team
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