How to Install and Uninstall liblibleidenalg-dev Package on Kali Linux

Last updated: December 25,2024

1. Install "liblibleidenalg-dev" package

Here is a brief guide to show you how to install liblibleidenalg-dev on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                liblibleidenalg-dev
            
                    
    
    Copied

2. Uninstall "liblibleidenalg-dev" package

Please follow the instructions below to uninstall liblibleidenalg-dev on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                liblibleidenalg-dev
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the liblibleidenalg-dev package on Kali Linux

Package: liblibleidenalg-dev
Source: libleidenalg
Version: 0.11.1-2
Installed-Size: 66
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: liblibleidenalg1 (= 0.11.1-2)
Size: 13384
SHA256: 8f3e6c730277c9670dfd08fbc7fd64bc9d5546581cec1857088563188c484f7e
SHA1: f369d4a200496cf8fa94e19c17b63864a113b811
MD5sum: 0183fd8eb5ac0920545a9d5e00551923
Description: implementation of the Leiden algorithm in C++ - headers
This package implements the Leiden algorithm in C++. It relies on igraph for
it to function. Besides the relative flexibility of the implementation, it
also scales well, and can be run on graphs of millions of nodes (as long as
they can fit in memory). The core class is Optimiser which finds the optimal
partition using the Leiden algorithm, which is an extension of the Louvain
algorithm for a number of different methods. The methods currently implemented
are (1) modularity, (2) Reichardt and Bornholdt's model using the
configuration null model and the Erdös-Rényi null model, (3) the Constant
Potts model (CPM), (4) Significance, and finally (5) Surprise. In addition,
it supports multiplex partition optimisation allowing community detection on
for example negative links or multiple time slices. There is the possibility
of only partially optimising a partition, so that some community assignments
remain fixed. It also provides some support for community detection on
bipartite graphs.
.
This package contains the C++ development files. Most people will find it
easier to work with the Python interface provided by python3-leidenalg.
Description-md5:
Multi-Arch: same
Homepage: https://github.com/vtraag/libleidenalg
Section: libdevel
Priority: optional
Filename: pool/main/libl/libleidenalg/liblibleidenalg-dev_0.11.1-2_amd64.deb