🌐 Our Project: Quantifying Conflicts and Relationships using Computational Social Science and Network Science 📊🌍

🔍 Description: Our project aims to analyze and understand the complex dynamics of conflicts by leveraging the power of computational social science and network science. Through data-driven approaches, we explore the relationships between various conflicts and quantify their impact. 📈💥

🔬 How It Helps: By studying conflicts and their connections, we gain valuable insights into their nature, patterns, actors, causes, and impacts. This knowledge can inform decision-making processes, policy formulation, and conflict resolution strategies. 🧠💡

🎯 Goal: Our ultimate goal is to contribute to a deeper understanding of conflicts, promote peacebuilding efforts, and create a more harmonious world. 🌍✌️

🔧 Technologies: Our project utilizes Python, network analysis libraries (e.g., NetworkX), community detection algorithms, and various metrics (e.g., conductance, silhouette score) to uncover hidden patterns and generate actionable insights. 💻🔬

The Network.zip file consits of a csv, gml and gexf formats of the network that we created.

🌟 Join us on this exciting journey as we delve into the fascinating world of conflicts and discover meaningful connections that can shape a brighter future! ✨🌟