Skip to main content

Circular Gaussian Random gRAph Model - a generator for synthetic complex networks

Project 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

There is no reason this shouldn’t compile on windows if the required libs are present.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for cigram, version 0.1.5
Filename, size File type Python version Upload date Hashes
Filename, size cigram-0.1.5.tar.gz (47.9 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page