A Social Mechanism of Reputation Management in Electronic Communities

By Bin Yu, Munindar P. Singh. International Workshop on Cooperative Information Agents, 2000

554 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/457fcc6652033af410b1939290459bb1333a1a51

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Management Science and Operations Research

In Sociology and Political Science

Citations in the corpus

Propagation of trust and distrust (2004, background): “Indeed, social network theory and economics have considered a variety of facets of this general subject [1, 2, 3, 6, 25].”
Overcoming free-riding behavior in peer-to-peer systems (2005, background): “They di.er from one another primarily in the computation of reputation scores and the mapping of scores to strategies (e.g., [Dellarocas and Resnick, 2003; Gupta et al., 2003; Jurca and Faltings, 2005; Kamvar et al., 2003; Yu and Singh, 2000]).”
An evidential model of distributed reputation management (2002, background): “Yu and Singh developed an approach for social reputation management [26, 27], in which they used a scalar value to represent an agent's belief ratings about another and combine them with testimonies using combination schemes similar to the certainty factor model.”
REGRET: A reputation model for gregarious societies (2001, background): “The model described in [13] merges information that comes from agents that have good reputation.”
A survey of trust and reputation systems for online service provision (2007, methodology): “Authors proposing methods to counter this problem include [2,6,7,11,13–15,47,64,58,68,69,71].”
Foliar heavy metal uptake, toxicity and detoxification in plants: A comparison of foliar and root metal uptake. (2017, unknown): “Reputation of one another [19] [46], profile similarity [50] [5] [12], explicit rating (e.”
TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks (2005, background): “INTRODUCTION A variety of electronic markets and online communities have reputation system built in, such as eBay, Amazon, Yahoo!”
A survey of trust in computer science and the Semantic Web (2007, unknown): “…2002) [36] Reputation-based trust Decentralization and referral trust (Abdul-Rahman and Hailes, 1997a) [37] (Abdul-Rahman and Hailes, 1997b) [38] (Yu and Singh, 2000) [39] (Yu and Singh, 2002) [40] (Yu and Singh, 2003) [41] (Sabater and Sierra, 2002) [42] (Beth et al., 1994) [43] (Xiao and…”
The Beta Reputation System (2002, background): “Whenever there is a need, users can ask others for the required reputation values [16, 5, 14].”
Explanation and Argumentation Capabilities:Towards the Creation of More Persuasive Agents (2002, background): “Yu and Singh (2000) propose an approach which gives full control to users who can choose when to reveal their ratings, help an agent find trustworthy agents and speed up the propagation of information through the social network of agents.”
Detecting deception in reputation management (2003, methodology): “In our first work on this subject, we developed an approach for social reputation management, in which we represented an agent’s belief ratings about another as a scalar and combined them with testimonies using combination schemes similar to certainty factors [18].”
Reputation and social network analysis in multi-agent systems (2002, unknown): “Categories and Subject Descriptors I.2.11 [Distributed Arti.cial Intelligence]:Multiagent systems; I.2.11 [Distributed Arti.cial Intelligence]:Intelligent agents; I.2.0 [General]:Cognitive simulation General Terms Algorithms,Design,Theory 1.”
PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities (2004, background): “Yu and Singh [35] developed an approach for social reputation management and their model combines agents’ belief ratings using combination schemes similar to certainty factors.”