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Social Networks and Online Markets
Master Degree in Data Science/Computer Science Engineering/Management Engineering/Artificial Intelligence and Robotics
Anno Accademico 2024/2025 - II Semestre
Proff. Aris Anagnostopoulos e Stefano Leonardi
Main Web Page of the Class
Monday ore 15:00 - 17:00
Wednesday ore 12:00 - 15:00
Classroom Link: https://classroom.google.com/c/NjAyNDA3MzY5Njk5?cjc=ckm4jgm
Cassroom code: ckm4jgm
Sezione 1: Social Networks
Instructor: Prof. Aris Anagnostopoulos - aris@diag.uniroma1.it
Main Web Page of the Class
Sezione 2: Online Markets
Instructor: Prof. Stefano Leonardi - leonardi@diag.uniroma1.it
Tutor: Johannes Brustle - brustle@diag.uniroma1.it
Syllabus:
Introduction to Algorithmic Game Theory and Mechanism Design
Algorithmic mechanism design
–Single Item Auction
–Multi-parameter Mechanism Design
–Revenue maximizing Auctions
–Sponsored Search Auctions, Spectrum Auctions
Market Equilibria
–Walrasian equilibria
–Stable matching
–Kidney exchange
–House allocation
Computational Game Theory and the Price of Anarchy
–Games and solution concepts
–Congestion games, Selfish Routing, and the Price of Anarchy
–Potential games
–Online decision-making and learning of equilibrium in games
Computational social choice
–Voting and rank aggregation
–Fair division
Material:
[1] Classroom for Slides and Lecture Notes available at the Classroom site
[2] Twenty Lectures on Algorithmic Game Theory , Tim Roughgarden, Columbia University Publisher:Cambridge University Press
DOI:https://doi.org/10.1017/CBO9781316779309
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