How to Install and Uninstall socnetv Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 07,2024

1. Install "socnetv" package

This guide let you learn how to install socnetv on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install socnetv

2. Uninstall "socnetv" package

Please follow the steps below to uninstall socnetv on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove socnetv $ sudo apt autoclean && sudo apt autoremove

3. Information about the socnetv package on Ubuntu 21.10 (Impish Indri)

Package: socnetv
Architecture: amd64
Version: 2.8-1
Priority: optional
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Adrià García-Alzórriz
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3317
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libqt5charts5 (>= 5.14.1), libqt5core5a (>= 5.15.1), libqt5gui5 (>= 5.14.1) | libqt5gui5-gles (>= 5.14.1), libqt5network5 (>= 5.14.1), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.2.0), libstdc++6 (>= 5)
Filename: pool/universe/s/socnetv/socnetv_2.8-1_amd64.deb
Size: 1037824
MD5sum: 057c22342eb95bbcf601ec0148e67b67
SHA1: 7b32bc85dc66de1c77aeb4bcdfe97e2cdd823d72
SHA256: 2dbea80f6f6138bca259889e357616d9b643b63e6de792621077a74f4f5627c6
SHA512: 8f7d51fc317c9c16357948cf821a1e708db68f9a483994b17464cd7b7dd8ed15d85ac82168ddad726961bb18e54f1e454b663bb101509e78c1ade106975fdc1d
Homepage: https://socnetv.org
Description-en: Social Networks Analysis and Visualization software
SocNetV (Social Network Visualiser) is a flexible and
user-friendly tool for Social Networks Analysis and Visualisation.
It lets you create new networks (graphs) with a few clicks on a
virtual canvas or load networks of various formats (GraphML,
GraphViz, Adjacency, UCINET, Pajek, etc) and modify them to suit
your needs.
.
The application can compute network properties, such as density,
diameter and geodesic distances, as well as node-wise and network
indices such as various types of Centrality and Prestige.
Various layout algorithms (i.e. Spring-embedder, circular and in
levels according to prominence indices) are supported for
meaningful visualisations of your networks. Furthermore, it can
create various random networks (Erdos-Renyi, Watts-Strogatz,
ring lattice, etc) with a few clicks.
Description-md5: ca875dfb80346a9020f26f40d40a871b