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Algorithmic Game Theory

Overview of attention for book
Cover of 'Algorithmic Game Theory'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 When the Players Are Not Expectation Maximizers
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    Chapter 2 How Do You Like Your Equilibrium Selection Problems? Hard, or Very Hard?
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    Chapter 3 A Simplex-Like Algorithm for Fisher Markets
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    Chapter 4 Nash Equilibria in Fisher Market
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    Chapter 5 Partition Equilibrium Always Exists in Resource Selection Games
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    Chapter 6 Mixing Time and Stationary Expected Social Welfare of Logit Dynamics
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    Chapter 7 Pareto Efficiency and Approximate Pareto Efficiency in Routing and Load Balancing Games
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    Chapter 8 On Nash-Equilibria of Approximation-Stable Games
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    Chapter 9 Improved Lower Bounds on the Price of Stability of Undirected Network Design Games
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    Chapter 10 Algorithmic Game Theory
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    Chapter 11 On Learning Algorithms for Nash Equilibria
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    Chapter 12 On the Structure of Weakly Acyclic Games
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    Chapter 13 A Direct Reduction from k -Player to 2-Player Approximate Nash Equilibrium
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    Chapter 14 Responsive Lotteries
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    Chapter 15 On the Existence of Optimal Taxes for Network Congestion Games with Heterogeneous Users
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    Chapter 16 Algorithmic Game Theory
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    Chapter 17 A Perfect Price Discrimination Market Model with Production, and a (Rational) Convex Program for It
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    Chapter 18 The Computational Complexity of Trembling Hand Perfection and Other Equilibrium Refinements
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    Chapter 19 Complexity of Safe Strategic Voting
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    Chapter 20 Bottleneck Congestion Games with Logarithmic Price of Anarchy
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    Chapter 21 Single-Parameter Combinatorial Auctions with Partially Public Valuations
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    Chapter 22 On the Efficiency of Markets with Two-Sided Proportional Allocation Mechanisms
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    Chapter 23 Braess’s Paradox for Flows over Time
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    Chapter 24 The Price of Anarchy in Network Creation Games Is (Mostly) Constant
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    Chapter 25 Truthful Fair Division
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    Chapter 26 No Regret Learning in Oligopolies: Cournot vs. Bertrand
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    Chapter 27 On the Complexity of Pareto-optimal Nash and Strong Equilibria
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    Chapter 28 2-Player Nash and Nonsymmetric Bargaining Games: Algorithms and Structural Properties
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    Chapter 29 On the Inefficiency of Equilibria in Linear Bottleneck Congestion Games
  31. Altmetric Badge
    Chapter 30 Minimal Subsidies in Expense Sharing Games
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Algorithmic Game Theory
Published by
ADS, October 2010
DOI 10.1007/978-3-642-16170-4
ISBNs
978-3-64-216169-8, 978-3-64-216170-4
Editors

Kontogiannis, Spyros, Koutsoupias, Elias, Spirakis, Paul G.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 May 2023.
All research outputs
#2,302,206
of 23,164,913 outputs
Outputs from ADS
#1,389
of 37,549 outputs
Outputs of similar age
#8,998
of 99,906 outputs
Outputs of similar age from ADS
#12
of 367 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,549 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 99,906 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 367 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.