JUNG 1.0 release

I would like to announce the release 1.0 of the open-source Java Universal Network/Graph Framework described below. Our website can be visited at http://jung.sourceforge.net. It contains more information about the project.

Note: We are currently looking for help in adding new algorithms from social networks, graph theory, data mining, and others. Please see our FAQ (http://jung.sourceforge.net/faq.php#contribute) for more information on how one might go about contributing code to our project.

best,
scott

Scott White
PhD Student
Information & Computer Science, UCI

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JUNG the Java Universal Network/Graph Framework--is a software library
that provides a common and extendible language for the modeling,
analysis, and visualization of data that can be represented as a graph or
network. It is written in Java, which allows JUNG-based applications to
make use of the extensive built-in capabilities of the Java API, as well
as those of other existing third-party Java libraries.

The JUNG architecture is designed to support a variety of representations
of entities and their relations, such as directed and undirected graphs,
multi-modal graphs, graphs with parallel edges, and hypergraphs. It
provides a mechanism for annotating graphs, entities, and relations with
metadata. This facilitates the creation of analytic tools for complex
data sets that can examine the relations between entities as well as the
metadata attached to each entity and relation.

The current distribution of JUNG includes implementations of a number of
algorithms from graph theory, data mining, and social network analysis,
such as routines for clustering, decomposition, optimization, random
graph generation, statistical analysis, and calculation of network
distances, flows, and importance measures (centrality, PageRank, HITS,
etc.).

JUNG also provides a visualization framework that makes it easy to
construct tools for the interactive exploration of network data. Users
can use one of the layout algorithms provided, or use the framework to
create their own custom layouts. In addition, filtering mechanisms are
provided which allow users to focus their attention, or their algorithms,
on specific portions of the graph.

As an open-source library, JUNG provides a common framework for
graph/network analysis and visualization. We hope that JUNG will make it
easier for those who work with relational data to make use of one
anothers' development efforts, and thus avoid continually re-inventing
the wheel.

The JUNG Framework Development Team