This project focuses on community detection in social networks, a fundamental task in network analysis. Community detection aims to identify groups of nodes within a network that are more densely connected to each other than to nodes outside of their group. This README provides an overview of the project and how to get started.
Community detection in social networks has various real-world applications, such as understanding the structure of online social communities, targeted advertising, and recommendation systems. This project offers a toolkit for detecting and visualizing communities within social networks.
- Community detection algorithms, including:
- Modularity Optimization
- Louvain Method
- Girvan-Newman Algorithm
- Data preprocessing tools for loading social network data.
- Visualization tools to display the network and identified communities.
- Evaluation metrics to assess the quality of detected communities.
To get started with this project, follow these steps:
- Clone the Repository:
git clone https://github.com/maziyar-gerami/CommunityDetecion.git