Metadata-Version: 2.1
Name: cgnlib
Version: 0.1.0
Summary: CGNLib, a Python library, enhances GN by allowing experimentation with different centrality metric. This flexibility can improve community detection results.
Home-page: https://github.com/chinnapongpsu/cgnlib
Download-URL: https://github.com/chinnapongpsu/cgnlib/archive/refs/tags/0.1.0.zip
Author: chinnapongpsu
Author-email: chinnapong.a@psu.ac.th
License: MIT
Keywords: cgn,Community DetectionCommunity,DetectionGirvan-NewmanCentrality Metrics
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
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 :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
License-File: LICENSE
Requires-Dist: networkx
Requires-Dist: igraph
Requires-Dist: netcenlib
Requires-Dist: matplotlib

# CGNLib - Community Detection Library

[![PyPI version](https://badge.fury.io/py/cgn.svg)](https://badge.fury.io/py/cgn)

`CGNLib` is a Python library, enhances GN by allowing experimentation with different centrality metrics—Edge Betweenness, Edge Closeness, PageRank, and Degree Centrality. This flexibility can improve community detection results. The library is easy to integrate via Pip and includes a benchmarking method for experiments. CGNLib also features the "Hat Yai Tourism" dataset, inspired by the need to optimize community detection in Hat Yai, Songkhla’s tourism routes, making it valuable for research and practical applications.
