slmpy

Smart local moving (SLM) community detection in Python/C++, modeled on the Java version on https://github.com/mneedham/slm.

Development: https://github.com/iosonofabio/slmpy
Author: Fabio Zanini
License: MIT
Requirements: pybind11>=2.2, numpy, pkgconfig (see requirements.txt)

from slmpy import ModularityOptimzer

edges = [
         [0, 1],
         [0, 2],
         [0, 3],
         [1, 2],
         [1, 3],
         [2, 3],
         [3, 4],
         [4, 5],
         [4, 6],
         [5, 6],
         [7, 8],
        ]

mo = ModularityOptimzer(edges)
mo.fixed_nodes = [0, 4]  # This fixes nodes 0 and 4 to be in different communities
communities = mo(algorithm='smart_local_moving')

# Check answer
assert((communities == [0, 0, 0, 0, 1, 1, 1]).all())

Release files for slmpy 0.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for slmpy 0.3.3
File	Size	Uploaded
slmpy-0.3.3.tar.gz	12.2 kB	Apr 17, 2019	Details

Release files / slmpy-0.3.3.tar.gz

Download URL	slmpy-0.3.3.tar.gz
Size	12.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`3d3368636fe1132f3677faef668c9f7a5ba0a2eae13385bd7501577cbcd4bfba`
BLAKE2b-256 checksum How to use checksums	`4aaf2f8d395df8297ad8209c5cb139d7abf45081b5583c2a972f8c6b38b51e17`
Upload date	Apr 17, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1`