Metadata-Version: 1.1
Name: cigram
Version: 0.1.5
Summary: Circular Gaussian Random gRAph Model - a generator for synthetic complex networks
Home-page: https://github.com/azimov/cigram
Author: James Gilbert
Author-email: jamie.gilbert@azimov.co.uk
License: GPL
Description: 
        CiGRAM is a generator for random complex networks with community structure and assortative connections.
        CiGRAM can be used as a benchmark for community detection algorithms.
        
        This package also includes LFR benchmark models.
        
        Installation - currently only tested on linux.
        Requires C++ and libboost installed and in library paths.
        
        To install visit http://www.boost.org/
        
        There is no reason this shouldn't compile on windows if the required libs are present.
        
Platform: GNU/Linux
Platform: Mac OS X >= 10.7
Platform: Microsoft Windows >= 7
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)
Classifier: License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
