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.

• Introduction
• Features
• Getting Started
• Usage
• Contributing
• License

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:

1. Clone the Repository:

   git clone https://github.com/maziyar-gerami/CommunityDetecion.git