Group: net.sf.jung - All Dependencies

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JUNG - Graph Implementations · Graph implementations for the JUNG project

Sep 07, 2016
126 usages
323 stars
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JUNG - Visualization Support · Core visualization support for the JUNG project

Sep 07, 2016
88 usages
323 stars
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jung-api 2.1.1

JUNG - API · Graph interfaces used by the JUNG project

Sep 07, 2016
88 usages
323 stars
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JUNG - Algorithms · Algorithms for the JUNG project

Sep 07, 2016
82 usages
323 stars
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jung-io 2.1.1

JUNG - I/O Support · IO support classes for JUNG

Sep 07, 2016
37 usages
323 stars
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jung-jai 2.0.1

jung-jai · Jung2 rendering project that uses Java Advanced Imaging (JAI) for non-affine transforms

Jan 24, 2010
12 usages
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jung-3d 2.0.1

jung-3d · Experimental java3d-based graph rendering project

Jan 24, 2010
7 usages
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jung-samples 2.1.1

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.

Sep 07, 2016
4 usages
323 stars
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jung2 2.0.1

jung2 · 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.

Jan 24, 2010
4 usages
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jung-3d-demos · Demo programs for java3d based graph rendering project

Jan 24, 2010
1 usages
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jung-jai-samples · Demos for the jung-jai (Java Advanced Imaging) project

Jan 24, 2010
1 usages
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jung-parent 2.1.1

JUNG (parent metadata project) · 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.

Sep 07, 2016
371 stars

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