Analyzing the economic efficiency of eBay-like online reputation reporting mechanisms
Proceedings of the 3rd ACM conference on Electronic Commerce
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 Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard
Information Systems Research
Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence
Fuzzy trust evaluation and credibility development in multi-agent systems
Applied Soft Computing
A survey of trust and reputation systems for online service provision
Decision Support Systems
The roles of players and reputation: evidence from eBay online auctions
Decision Support Systems
A Trust Model for Consumer Internet Shopping
International Journal of Electronic Commerce
Online reputation systems: Design and strategic practices
Decision Support Systems
Trust in consumer-to-consumer electronic commerce
Information and Management
Online consumer-to-consumer market in China - A comparative study of Taobao and eBay
Electronic Commerce Research and Applications
Using Trust for Secure Collaboration in Uncertain Environments
IEEE Pervasive Computing
Proceedings of the 2009 ACM symposium on Applied Computing
A quantitative trust model based on multiple evaluation criteria
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Trust beyond reputation: A computational trust model based on stereotypes
Electronic Commerce Research and Applications
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Consumer-to-consumer (C2C) auctions on the web are popular because they provide a private, convenient, and efficient platform of price negotiation for consumers to trade. Insufficient information or the anonymity of sellers and buyers may result in malicious participants who exploit others to gain improper profits. This article proposes several new metrics for online auctions as social networks. We use simulation methods in order to show that malicious participants who have been difficult to identify at other auction websites can be easily identified with our proposed metrics. We also conduct empirical analysis of our proposed trust-evaluation system, which reveals that our approach can identify malicious auction participants earlier and more easily than eBay can.