Internet and Network Economics
Author | : Stefano Leonardi |
Publisher | : Springer Science & Business Media |
Total Pages | : 654 |
Release | : 2009-12-07 |
ISBN-10 | : 9783642108402 |
ISBN-13 | : 3642108407 |
Rating | : 4/5 (02 Downloads) |
Download or read book Internet and Network Economics written by Stefano Leonardi and published by Springer Science & Business Media. This book was released on 2009-12-07 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at WINE 2009:the 5th International Workshop on Internet and Network Economics held December 14–18, 2009, in Rome,attheDepartmentofComputerandSystemSciences,SapienzaUniversity of Rome. Over the past decade there has been growing interaction between researchers in theoretical computer science, networking and security, economics, mathem- ics, sociology, and management sciences devoted to the analysis of problems arising in the Internet and the worldwide web. The Workshop on Internet and Network Economics (WINE) is an interdisciplinary forum for the exchange of ideas and results arising in these varied ?elds. There were 142 submissions to the workshop including regular and short - pers.Allsubmissionswererigorouslypeer reviewedandevaluatedonthebasisof the quality of their contribution, originality,soundness, and signi?cance. Almost all submissions were reviewed by at least three Program Committee members. The committee decided to accept 34 regular papers and 29 short papers. The Best Student Paper award sponsored by Google Inc. was given to Saeed Alaei and AzarakhshMalekianfor the paper “An Analysisof Troubled Assets Reverse Auction.” The program also included three invited talks by S. Muthukrishnan (Google Inc.and RutgersUniversity),H. PeytonYoung (OxfordandJohns Hopkins U- versity)andEvaTardos(CornellUnversity).Threetutorialswerealsoo?eredon the days before the workshop, from Andrei Broder (Yahoo! Research) on C- putational Advertising, Nikhil Devanur and Kamal Jain (Microsoft Research) on Computational Issues in Market Equilibria, and Tim Roughgarden(Stanford University) on Bayesian and Worst-Case Revenue Maximization.