The world has become highly interconnected and hence more complex than ever before. We are surrounded by a multitude of networks in our daily life, for example, friendship networks, online social networks, world wide web, road networks etc. All these networks are today available online in the form of graphs which hold a whole lot of hidden information. They encompass surprising secrets which have been time and again revealed with the help of tools like graph theory, sociology, game theory etc. The study of these graphs and revelation of their properties with these tools have been termed as Social Network Analysis.
Week1: Introduction Week 2: Handling Real-world Network Datasets Week 3: Strength of Weak Ties Week 4: Strong and Weak Relationships (Continued) & Homophily Week 5: Homophily Continued and +Ve / -Ve Relationships Week 6: Link Analysis Week 7: Cascading Behaviour in Networks Week 8: Link Analysis (Continued) Week 9: Power Laws and Rich-Get-Richer Phenomena Week 10: Power law (contd..) and Epidemics Week 11: Small World Phenomenon Week 12: Pseudocore (How to go viral on web)