How to Install and Uninstall libjung-free-java Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 08,2024

1. Install "libjung-free-java" package

Please follow the instructions below to install libjung-free-java on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install libjung-free-java

2. Uninstall "libjung-free-java" package

This guide covers the steps necessary to uninstall libjung-free-java on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove libjung-free-java $ sudo apt autoclean && sudo apt autoremove

3. Information about the libjung-free-java package on Ubuntu 21.10 (Impish Indri)

Package: libjung-free-java
Architecture: all
Version: 2.0.1+dfsg-1.1
Priority: optional
Section: universe/java
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1130
Depends: libcolt-free-java, libcommons-collections4-java, libvecmath-java
Filename: pool/universe/libj/libjung-free-java/libjung-free-java_2.0.1+dfsg-1.1_all.deb
Size: 998904
MD5sum: 5fdc9d7217985606eee2e4aa4c606981
SHA1: 653230d7da00e6d194e83ce9a40de860efc31338
SHA256: f62cec95d0a04d7d8d352e4386eb9cc1e5da388de6c5ec81a7aa87f5a7eecd1e
SHA512: 9402301c87b893293806afff1682a7ecb3c99562e5752b992b7d4e35e3003a03af3fa5d385b45f6aa9e8305fe8fb799017035dd5f7b85e6c8b490bcc949777c7
Homepage: http://jung.sourceforge.net/
Description-en: Java Universal Network/Graph Framework
JUNG provides a common and extendible language for the modeling, analysis, and
visualization of data that can be represented as a graph or network.
.
This package does not contain the jung jai classes (Java Advanced Imaging) for
licensing reasons.
.
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.
Description-md5: 461a44f44718252c66c69311a43ca647