{"repo":"drkostas/HGN","free":true,"listed":false,"github":"https://github.com/drkostas/HGN","clone":"git clone https://github.com/drkostas/HGN.git","description":"[Algorithms '19] Official code for the paper \"A Distributed Hybrid Community Detection Methodology for Social Networks\" paper.","language":"Python","stars":28,"topics":["community-detection","girvan-newman","distributed","apache-spark","graphframes","papers-with-code","paper-implementations","spark","social-networks"],"license":"GPL-3.0","category":"deployment-docker-iac","readme_excerpt":"Hybrid Girvan Newman Table of Contents + About + Getting Started + Prerequisites + Environment Variables + Installing, Testing, Building + Available Make Commands + Clean Previous Builds + Venv and Requirements + Run the tests + Build Locally + Running locally + Configuration + Execution Options + Deployment + Continuous Ιntegration + Todo + Built With + License + Acknowledgments About Hybrid Girvan Newman. Code for the paper \"A Distributed Hybrid Community Detection Methodology for Social Networks.\" The proposed methodology is an iterative, divisive community detection process that combines the network topology features of loose similarity and local edge betweenness measure, along with the user content information in order to remove the inter-connection edges and thus unravel the subjacent community structure. Even if this iterative process might sound computationally over-demanding, its application is certainly not prohibitive, since it can be safely concluded from the experimentation results that the aforementioned measures are that well-informative and highly representative, so merely few iterations are required to converge to the final community hierarchy at any case. Implementation last tested with Python 3.6, Apache Spark 2.4.5 and GraphFrames 0.8.0 Getting Started These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system. Prereq","default_branch":null,"files":null,"tree":[],"storefront":"/r/drkostas","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/drkostas/HGN/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}