Project Group: com.northdata.jung

JUNG - API

com.northdata.jung : jung-api

Graph interfaces used by the JUNG project

Last Version: 2.2.0

Release Date: Sep 18, 2020

JUNG - Algorithms

com.northdata.jung : jung-algorithms

Algorithms for the JUNG project

Last Version: 2.2.0

Release Date: Sep 18, 2020

JUNG - Graph Implementations

com.northdata.jung : jung-graph-impl

Graph implementations for the JUNG project

Last Version: 2.2.0

Release Date: Sep 18, 2020

JUNG - I/O Support

com.northdata.jung : jung-io

IO support classes for JUNG

Last Version: 2.2.0

Release Date: Sep 18, 2020

JUNG - Visualization Support

com.northdata.jung : jung-visualization

Core visualization support for the JUNG project

Last Version: 2.2.0

Release Date: Sep 18, 2020

JUNG - Samples

com.northdata.jung : jung-samples

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.

Last Version: 2.2.0

Release Date: Sep 18, 2020

JUNG (parent metadata project)

com.northdata.jung : jung-parent

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.

Last Version: 2.2.0

Release Date: Sep 18, 2020