NDLI: Reputation in self-organized communication systems and beyond

Please wait, while we are loading the content...

Reputation in self-organized communication systems and beyond

Flash crowd in a file sharing system based on random encounters

Optimal design and operation of massively dense wireless networks: or how to solve 21st century problems using 19th century mathematics

Optimal networks, congestion and Braess' paradox

Peer to peer networks for defense against internet worms

Qualitative dynamical analysis of queueing networks with inhibition

Dynamic storage load balancing with analogy to thermal diffusion for P2P file sharing

TCP symbiosis: congestion control mechanisms of TCP based on Lotka-Volterra competition model

Reputation in self-organized communication systems and beyond

Content Provider	ACM Digital Library
Author	Le Boudec, Jean-Yves Mundinger, Jochen
Abstract	Efficiently handling reputation is important in dealing with free-riding, malicious attacks and random failures in self-organized communication systems. At the same time, work in this context is often found to be relevant in many other disciplines, in particular the social sciences. A number of distributed reputation systems have been proposed and analyzed, although research has not been very coherent. In this paper, for the first time, we provide an overview of the state-of-the-art in the various computer science communities as well as the social sciences. In particular, we present results obtained from our mathematical model devised to investigate the impact of liars on their peers' reputation about a subject. We find that liars have no impact unless their number exceeds a certain threshold (phase transition behaviour). We give precise formulae and quantify the impact, thereby providing insight into fundamental questions in social networks as well as facilitating performance evaluation and optimization of distributed reputation systems in communication networks. We conclude by suggesting fundamental directions for future research into reputation.
File Format	PDF
ISBN	1595935037
DOI	10.1145/1190326.1190328
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-10-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Bayesian belief propagation Interacting particle system Liars Discrete event dynamic system Performance optimization Social networks Statistical physics model Reputation Trust Phase transition
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in