Course Overview
This is an introductory course on Social Network Analysis (SNA) that is offered to undergraduate and graduate students. The contents are designed to cover both theoretical and practical aspects of several well-established graph algorithms. The assignments will contain theory and programming questions that help strengthen the theoretical foundations to work on simulated and publicly available real datasets. The project(s) will require students to develop a complete end-to-end solution requiring preprocessing, design of the graph algorithms, training and validation, testing and evaluation with quantitative performance comparisons.
Instructor
Dr. Tanmoy Chakraborty
Assistant Professor and Ramanujan Fellow
Dept. of Computer Science & Engineering
IIIT Delhi, India
Project Director, Technology Innovative Hub (TIH), IIIT-Delhi