Social Media and Network Analysis
Learning Outcomes:
- Explain the fundamental concepts of network science, graph theory, and social media data characteristics.
- Implement social media data collection, preprocessing, and network construction pipelines using computational tools.
- Analyze structural properties, community patterns, and information diffusion behaviors in social networks.
Topics:
- Graph Theory Fundamentals
- Network Properties and Topology
- Introduction to SNA Tools and Software Ecosystem
- Social Media Data Collection
- Data Preprocessing and Network Construction
- Network Centrality and Key Actor Detection
- Community Detection
- Information Diffusion and Influence Maximization
- Social Media Content Analysis
- Ethics, Privacy, and Governance in Social Network Analysis
Published at :
SOCIAL MEDIA
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