Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
A framework for unifying presentation space
Proceedings of the 14th annual ACM symposium on User interface software and technology
A reputation-based approach for choosing reliable resources in peer-to-peer networks
Proceedings of the 9th ACM conference on Computer and communications security
A Reputation System to Increase MIX-Net Reliability
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
A reputation system for peer-to-peer networks
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Collaborative Reputation Mechanisms in Electronic Marketplaces
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
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There have been a number of frameworks and models developed to support different aspects of social computing. Some were developed to deal with online interaction through the application of computer-mediated communications tools, whereas others such as social network analyses and reputation systems were more specific in their focus. While these methodologies are inter-related, current social computing research has dealt with them as separate aspects. This paper presents a comprehensive framework for social computing that aims at integrating all these three aspects into a unified model so that discovery and exploration of community members are not only made possible, but also optimized. The novelty of the proposed approach stems from: (1) integration of social interaction, social network analysis and social reputation domains; (2) incorporating many flexible and practical features such as individual- and group-level perceptions of trust in social relations for different social contexts; and (3) using path-related algorithms for selection and discovery of target community members. A description of the proposed model and its implementation are presented. This research is expected to assist online community members to make decisions that facilitate the discovery of people and their connections while promoting increased awareness of community structure and information exposure.