The course will cover the topics listed here. SNA Introduction, Graph Recap: Graph Introduction, Adjacency Matrix, Paths, Connectivity, Incidence Matrix, Distance, Breadth-First-Search, Directed Graph, Weighted Graphs etc.
Network Measures, Centrality, Strong and Weak Ties, Cliques, Component, Structural Balance, Network Models: Random Networks, Scale-Free Networks, Barabási-Albert Model, Fuzzy-Granular Social Network, Generating Network Data
Game Theory and Network Traffic Modeling, Information Cascade, Epidemic spread modeling, Small-World, Community Detection Problem, Link Prediction Problem, Evolving Network and Temporal Network
Python Coding with NetworkX
Quizzes (LMS) | Assignments | Hands On Exam |
10% | 30% | 10% |
Offline Quiz | Major | |
10% | 40% |
There will be quizzes in the LMS for each modules. The quizzes will be gamified. Note that you may run many attempts but only the first attempts will be counted for the grading.
There will be 3 assignments mixed of coding/paper reading/analytical.Best two of three will be counted towards grading.
During campus immersion, you will required to attempt one lab/hands on exam. The exam will be time bounded but open book.
During campus immersion, you will required to attempt one 30min quiz with pen and paper.
Major exam will carry 40% of your grading. The questions will be mixed of objective and subjective.
Plagiarism tolerance is 7% from single source and 15% cumulative, anything more will reduce your marks as follows:
These policy will apply for any assignments, hands on and practical work. Copying from friends and internet both treated similarly.