Social Network Analysis
(Special Topics in Computers 1)
(Special Topics in Computers 1)
Networks are a fundamental tool for modeling complex social, technological, and biological systems. Coupled with the emergence of online social networks and large-scale data availability in social sciences, this course focuses on the analysis of massive networks which provide many computational, algorithmic, and modeling challenges. The course will cover recent research on the structure and analysis of such large networks and on models and algorithms that abstract their basic properties. We will explore how to practically analyze large-scale network data and how to reason about it through models for network structure and evolution. Topics covered in this course include how information spreads through society, robustness and fragility of networks, algorithms for the World Wide Web, prediction and recommendation in online social networks, representation learning for large networks, etc.
Python programming (mandatory)
Algorithms and Data Structure (mandatory)
Introduction to Machine Learning (optional)
Introduction to Deep Learning (optional)
Course introduction and structure of Graphs
Measuring networks and random graph models
Network analysis and visualization tools
Link analysis
Community detection in graphs
Link prediction
Network effects and Cascade behavior
Influence maximization and Outbreak detection
Graph Representation Learning
Graph Convolutional Networks
Other applications of networks
Timings: Monday and Thursday, 8:00 - 9:30AM [Slot-A]
Classroom: IIA-201
Group email: 2301-ELL880@courses.iitd.ac.in
Tanmoy Chakraborty. Social Network Analysis, Wiley India Pvt. Ltd., 2021, ISBN 978-81-265-2007-7.
[Amazon link: https://www.amazon.in/Social-Network-Analysis-Tanmoy-Chakraborty/dp/9354247830/ref=sr_1_2?dchild=1&keywords=9789354247835&qid=1634206218&sr=8-2 ]
Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg, Cambridge University Press 2010 [online: https://www.cs.cornell.edu/home/kleinber/networks-book/ ]
Research papers published in SIGKDD, The WebConf, ACL, ICDM, CIKM, etc. as discussed in the class