Affiliation:
1. Università di Sassari, Italy
2. Università di Roma “Tor Vergata”, Italy
3. Università degli Studi dell’Aquila, Italy
4. Università degli Studi dell’Aquila, and Istituto di Analisi dei Sistemi ed Informatica (CNR), Rome, Italy
Abstract
Network creation games have been extensively studied, both by economists and computer scientists, due to their versatility in modeling individual-based community formation processes. These processes, in turn, are the theoretical counterpart of several economics, social, and computational applications on the Internet. In their several variants, these games model the tension of a player between the player’s two antagonistic goals: to be as close as possible to the other players and to activate a cheapest possible set of links. However, the generally adopted assumption is that players have a
common and complete
information about the ongoing network, which is quite unrealistic in practice. In this article, we consider a more compelling scenario in which players have only limited information about the network in whicy they are embedded. More precisely, we explore the game-theoretic and computational implications of assuming that players have a complete knowledge of the network structure only up to a given radius
k
, which is one of the most qualified
local-knowledge models
used in distributed computing. In this respect, we define a suitable equilibrium concept, and we provide a comprehensive set of upper and lower bounds to the price of anarchy for the entire range of values of
k
and for the two classic variants of the game, namely, those in which a player’s cost—besides the activation cost of the owned links—depends on the maximum/sum of all distances to the other nodes in the network, respectively. These bounds are assessed through an extensive set of experiments.
Funder
Research Grant PRIN 2010 ARS TechnoMedia
Italian Ministry of Education, University, and Research
Publisher
Association for Computing Machinery (ACM)
Subject
Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Modelling and Simulation,Software
Cited by
10 articles.
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