CSIT406 SOCIAL MEDIA ANALYTICS

Course Description: 

This course provides a comprehensive introduction to the fundamental concepts, theories, and analytical methods used to understand social networks and complex networks. Students will explore different types of network structures, including random graphs, small-world networks, and scale-free networks, and examine how these structures influence connectivity, information flow, influence, and network behavior. The course also focuses on the analysis of real-world networks across diverse domains, including social, technological, and biological systems. Through theoretical concepts, network models, and practical examples, students will develop the ability to interpret network structures and understand their applications in real-world contexts. 

Course Outcomes: 

• CO1: Understand the fundamental concepts and theories behind social networks.

• CO2: Explore various network structures, such as small-world networks, scale-free networks, and random graphs.

• CO3: Analyze real-world networks, including social, technological, and biological networks.