Download JAR files tagged by jung with all dependencies

Blueprints property graphs outplementation for the JUNG (Java Universal Network/Graph Framework)

Blueprints property graphs outplementation for the JUNG (Java Universal Network/Graph Framework)

Jungrapht-visualization is a port of the Java Universal Network Graph (JUNG) visualization and sample code that uses JGrapht graph models and algorithms.

Sample programs using JUNG. Nearly all JUNG capabilities are demonstrated here. Please study the source code for these examples prior to asking how to do something.

An alternative interactive UI for the JUNG graph library, which uses NetBeans' excellent lightweight Visual Library component framework to simplify creating interactive graph visualizations

Sample programs using JUNG. Nearly all JUNG capabilities are demonstrated here. Please study the source code for these examples prior to asking how to do something.

Sample programs using JUNG. Nearly all JUNG capabilities are demonstrated here. Please study the source code for these examples prior to asking how to do something.

Test code for visualizing a Trie. Seperated so that projects can use the JUNG visualization against their actual production data

Cross-Site-Request-Forgery (CSRF) protection for Apache Tapestry 5. This project is based on the Google Summer of Code 2011 project done by Markus Jung: https://code.google.com/p/gsoc2011-csrf-protection/. Some ideas and also code has been copied to start this Tapestry addon.

JUNG the Java Universal Network/Graph Framework--is a software library that provides a common and extensible 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.