Social network analysis and community detection

Thesis Abstract

Social network analysis plays a crucial role in understanding the structure and dynamics of online communities, enabling insights into information diffusion, influence propagation, and community detection. This project aims to conduct a comprehensive study of social network analysis techniques and develop algorithms for community detection in large-scale networks. The study will involve data collection, network representation, algorithm design, and evaluation using real-world social network datasets. The outcomes of this project will contribute to advancing our understanding of online social interactions and supporting applications such as targeted marketing and content recommendation.