CS60017

Social Computing (CS60017)

Accompanying website for the course on "Social Computing" for Autumn 2026-27

Announcements

[NEW] Assignment 1 is LIVE.
This is a research-oriented course that would require students to understand several CS research papers. There will be assignments and a term project that needs to be done using Python/Java. It is advisable to take this course only if you have the necessary background (see below).
In assignments or projects -- plagiarism in any form -- copying from other students or from online resources -- will be severely penalized.

Instructors

Prof. Animesh Mukherjee (Email: animeshm@cse.iitkgp.ac.in)

Prof. Somak Aditya (Email: saditya@cse.iitkgp.ac.in)

Teaching Assistants

Sagnik Basu (sagnikbasu19@gmail.com)

Subham Kumar (kumarshubham209@gmail.com)

Harsh Chattar (justharsh2407@gmail.com)

Class Timings and Venue

Thursday 15:00--16:55
Friday 15:00--15:55

Classroom: 120

Pre-requisites for the course

Data structures and algorithms
Probability and Statistics
Basics of Machine Learning
Programming in Python (there might be a programming-based projects)

Course Evaluation [Tentative]

Midsem: 30%
Endsem: 30%
Assignment: 25%
Random attendance: 15%

Broad topics

Communication and collaborative tools
Social networks
Polarization
Influence Maximisation -- I
GNN and its variants
GCN as a recommender system
Influence Maximisation -- II
Social Recommendation
Antisocial behaviour
Moderation
Human-AI interaction
Misinformation and fake news
Cognitive biases and dark patterns
Social bot detection

Text and Reference Literature (We will not follow any textbook in this course! But you can use some of the books below as references)

Networks: An Introduction, Mark Newman
Introducing social networks, Alain Degenne, Michel Forsé
Analyzing the Social Web, Jennifer Golbeck

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