python-leidenalg 0.8.8-1build1 source package in Ubuntu

Changelog

python-leidenalg (0.8.8-1build1) jammy; urgency=medium

  * No-change rebuild against libigraph2

 -- Steve Langasek <email address hidden>  Mon, 07 Mar 2022 17:32:28 +0000

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Uploaded by:
Steve Langasek
Uploaded to:
Jammy
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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python-leidenalg_0.8.8.orig.tar.gz 472.7 KiB faf16f73e5326936275b22fdfc5e98b2d76576d982a91956e13f636296c351d2
python-leidenalg_0.8.8-1build1.debian.tar.xz 3.4 KiB 26ad1503b60fd7f49357c744b10d5486e6f56b6e4b94512d3423a17c71f581df
python-leidenalg_0.8.8-1build1.dsc 2.4 KiB bc442c227d54ca24184d1e9a27850897f65b20ca663f2a2c13584e77809c4791

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Binary packages built by this source

python3-leidenalg: Python3 implementation of the Leiden algorithm in C++

 This package implements the Leiden algorithm in C++ and exposes it to
 Python. 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 function is find_partition 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.

python3-leidenalg-dbgsym: debug symbols for python3-leidenalg