How social structure improves distributed reputation systems: three hypotheses

Authors:
Philipp Obreiter;Stefan Fähnrich;Jens Nimis
Affiliations:
Institute for Program Structures and Data Organization, Universität Karlsruhe (TH), Karlsruhe, Germany;Institute for Program Structures and Data Organization, Universität Karlsruhe (TH), Karlsruhe, Germany;Institute for Program Structures and Data Organization, Universität Karlsruhe (TH), Karlsruhe, Germany
Venue:
AP2PC'04 Proceedings of the Third international conference on Agents and Peer-to-Peer Computing
Year:
2004

Citing 7
Cited 2

An evidential model of distributed reputation management

Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Friends and Foes: Preventing Sel.shness in Open Mobile Ad Hoc Networks

ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Limited reputation sharing in P2P systems

EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Architecture and algorithms for a distributed reputation system

iTrust'03 Proceedings of the 1st international conference on Trust management
Trusting collaboration in global computing systems

iTrust'03 Proceedings of the 1st international conference on Trust management
Engineering incentive schemes for ad hoc networks

EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
A taxonomy of incentive patterns

AP2PC'03 Proceedings of the Second international conference on Agents and Peer-to-Peer Computing

Robust and fair trading in volatile environments: overcoming technical problems and uncooperativeness

MobiDE '07 Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access
A new view on normativeness in distributed reputation systems: beyond behavioral beliefs

AP2PC'05 Proceedings of the 4th international conference on Agents and Peer-to-Peer Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Reputation systems provide an incentive for cooperation in artificial societies by keeping track of the behavior of autonomous entities. The self-organization of P2P systems demands for the distribution of the reputation system to the autonomous entities themselves. They may cooperate by issuing recommendations of other entities' trustworthiness. The recipient of a recommendation has to assess its truthfulness before taking it into account. The current assessment methods are based on plausibility considerations that have several inherent limitations. Therefore, in this paper, we propose social structure as a means of overcoming some of these limitations. For this purpose, we examine the properties of social structure and discuss how distributed reputation systems can make use of them. This leads us to the formulation of three hypotheses of how social structure overcomes the limitations of plausibility considerations. In addition, it is pointed out how the hypotheses can be tested.