Supporting trust in virtual communities

By A. Abdul-Rahman, S. Hailes. Proceedings of the Annual Hawaii International Conference on System Sciences, 2000

1,649 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6f127e35044fcef9d04d628a15a614d74d74cda3

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 Information Systems

In Sociology and Political Science

Citations in the corpus

Inferring binary trust relationships in Web-based social networks (2006, background): “Abdul-Rahman and Hailes [2000] showed that, in a predefined context such as movies, users develop social connections with people who have similar preferences.”
Computing and Applying Trust in Web-based Social Networks (2005, background): “Abdul-Rahman and Hailes(2000) showed that in a predefined context, such as movies, users develop social connections with people who have similar preferences.”
Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities (2016, background): “User understanding of the reasoning behind a recommendation may help to increase confidence in that recommendation (Herlocker et al., 2000; Abdul-Rahman and Hailes, 2000).”
Computational trust and reputation models for open multi-agent systems: a review (2011, methodology): “The Abdul-Rahman & Hailes model (Abdul-Rahman and Hailes 2000) uses the term trust, and its main characteristic relays on that evaluations are represented with a discrete set of four elements.”
Community Engineering for Innovations: The Ideas Competition as a Method to Nurture a Virtual Community for Innovations (2009, background): “Trust has been defined from several scientific perspectives – e.g., sociology, philosophy, sociopsychology and economics (Abdul-Rahman and Hailes, 2000).”
Recommender Systems (2016, neutral): “A variety of other trust propagation methods include the use of decay factors along paths [240], using only shortest paths [222], distance from a fixed propagation horizon [403], spreading factors [682, 683], rules [345, 597], and semantic distances [1].”
An evidential model of distributed reputation management (2002, background): “RahmanandHailes[1]proposedanapproahinvirtual ommunities.”
TrustMe: anonymous management of trust relationships in decentralized P2P systems (2003, methodology): “Whereas [10, 1, 16] suffer from the inherent complexity involved in maintaining the trust models, the eBay model relies on a centralized server to store and present the knowledge.”
Trust and reputation model in peer-to-peer networks (2003, methodology): “Abdul-Rahman and Hailes [ 1 ] capture the most important characteristics of trust and reputation and propose the general structure for developing trust and reputation in a distributed system.”
Reputation and social network analysis in multi-agent systems (2002, background): “Carles Sierra IIIA -Arti.cial Intelligence Research Institute CSIC -Spanish Scienti.c Research Council Bellaterra, Catalonia, Spain sierra@iiia.csic.es also how these social networks can be used to analyse trust and reputation [8, 5].”
A survey of trust and reputation systems for online service provision (2007, methodology): “This is also valid for determining trust measures, and some authors, including [1,9,10,44], have proposed discrete trust models.”
Trust Information-Based Privacy Architecture for Ubiquitous Health (2013, neutral): “perceived properties of, or the reliance placed on, a system or institution [7].”
PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities (2004, background): “AbdulRahmanandHailes [4]proposedamodel for supporting trust in virtual communities, based on direct experiences and reputation.”
Autonomous agents modelling other agents: A comprehensive survey and open problems (2017, background): “For example, Abdul-Rahman and Hailes [1] classify agents as very trustworthy, trustworthy, untrustworthy, or very untrustworthy based on direct experiences and reported experiences about agents.”
Personalized Recommendation Combining User Interest and Social Circle (2014, neutral): “Rahman and Hailes provide and discuss a model for supporting trust in virtual communities, which is based on experience and reputation [46].”
Generating Predictive Movie Recommendations from Trust in Social Networks (2006, background): “Abdul-Rahman and Hailes [1] showed that in a predefined context, such as movies, users develop social connections with people who have similar preferences.”