Social network analysis and community detection
Table Of Contents
1. Introduction
1.1 Importance of social network analysis and community detection
1.2 Research objectives
2. Literature review
2.1 Fundamentals of social network analysis
2.2 Community detection algorithms and methodologies
2.3 Applications of community detection in real-world scenarios
3. Data collection and network representation
3.1 Selection of social network datasets
3.2 Data preprocessing and network construction
3.3 Visualization and analysis of network properties
4. Community detection algorithms
4.1 Overview of community detection methods
4.2 Development of novel algorithms for large-scale networks
4.3 Comparative evaluation of community detection techniques
5. Case studies and experiments
5.1 Application of community detection to real-world social networks
5.2 Analysis of community structures and dynamics
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.
Thesis Overview
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