Social Network Analysis

COURSE DURATION :12 Weeks

TANMOY CHAKRABORTY

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(0) 80 Students
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What you will learn

  • Computer Science and Engineering

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 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 are 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.

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Meet Your Instructor

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About Instructor

Prof. Tanmoy is an associate Professor in the Dept. of Electrical Engineering, Indian Institute of Technology Delhi (IIT Delhi), India since September 2022. I am also an associate faculty of the Yardi School of Artificial Intelligence, IIT Delhi. I am an ACM’s Distinguished Speaker (2023-2025). I was a Ramanujan Fellow from 2018-2023. Before joining IIT Delhi, I served as an Assistant Professor (May 2017 - Dec 2021) and an Associate Professor (Jan 2022 - Aug 2022) in the Dept of CSE, Indraprastha Institute of Information Technology Delhi (IIIT Delhi), India. I also served as the head of the Infosys Centre for AI (CAI) at IIIT Delhi before joining IIT Delhi. I obtained my PhD as a Google PhD scholar from the Dept. of CSE, Indian Institute of Technology, Kharagpur, India in September, 2015. Following this, I joined University of Maryland, College Park as a Postdoctoral Researcher. My broad research interests include Natural Language Processing, Graph Neural Networks, and Social Computing

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  • Course Duration
    33 h 16 m 13 s
  • Course Level
    Intermediate
  • Student Enrolled
    80
  • Language
    English
This Course Includes
  • 33 h 16 m 13 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
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  • Certificate of Completion