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.

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