Publish and perish: Definition and analysis of an n-person publication impact game

Zvi Lotker, Boaz Patt-Shamir, Mark R. Tuttle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We consider the following abstraction of competing publications. There are n players vying for the attention of the audience. The attention of the audience is abstracted by a single slot which holds, at any given time, the name of the latest release. Each player needs to choose, ahead of time, when to release its product, and the goal is to maximize the amount of time its product is the latest release. Formally, each player i chooses a point x i ∈ [0, 1], and its payoff is the distance from its point x i to the next larger point, or to 1 if x i is the largest. For this game, we give a complete characterization of the Nash equilibrium for the two-player, continuous-action game, and, more important, we give an efficient approximation algorithm to compute numerically the symmetric Nash equilibrium for the n-player game. The approximation is computed via a discrete-action version of the game. In both cases, we show that the (symmetric) equilibrium is unique. Our algorithmic approach to the n-player game is non-standard in that it does not involve solving a system of differential equations. We believe that our techniques can be useful in the analysis of other timing games.

Original languageEnglish
Title of host publicationSPAA 2006
Subtitle of host publication18th Annual ACM Symposium on Parallelism in Algorithms and Architectures
Pages11-19
Number of pages9
StatePublished - 16 Oct 2006
Externally publishedYes
EventSPAA 2006: 18th Annual ACM Symposium on Parallelism in Algorithms and Architectures - Cambridge, MA, United States
Duration: 30 Jul 20062 Aug 2006

Publication series

NameAnnual ACM Symposium on Parallelism in Algorithms and Architectures
Volume2006

Conference

ConferenceSPAA 2006: 18th Annual ACM Symposium on Parallelism in Algorithms and Architectures
Country/TerritoryUnited States
CityCambridge, MA
Period30/07/062/08/06

Keywords

  • Nash equilibrium
  • Numerical algorithms
  • Timing games

ASJC Scopus subject areas

  • Engineering (all)

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