A strategic analysis of electronic marketplaces
MIS Quarterly - Special issue on the strategic use of information systems
Credibility and computing technology
Communications of the ACM
Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
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The Journal of Machine Learning Research
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CNSR '04 Proceedings of the Second Annual Conference on Communication Networks and Services Research
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Proceedings of the ninth international conference on Electronic commerce
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Do social networks improve e-commerce?: a study on social marketplaces
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Proceedings of the 10th international conference on Electronic commerce
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Proceedings of the 17th ACM conference on Information and knowledge management
Fraud detection in reputation systems in e-markets using logistic regression
Proceedings of the 2010 ACM Symposium on Applied Computing
ACM SIGAPP Applied Computing Review
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In the last decade, there has been an explosion of online commercial activity enabled by the World Wide Web. An electronic marketplace (e-market) provides an online method to perform transactions between buyers and sellers, potentially supporting all of the steps in the entire order fulfillment process. Credibility is an important requirement for the success of an e-market. In this work we model and characterize an e-market as a complex network and use the network structure to investigate the sellers' credibility. We propose a new algorithm, based on the structure of the negotiation network, to recommend whether the seller is trustable or not. We use real data from a online marketplace from the biggest Brazilian Internet Service Provider as case study. Besides being a prelimary work, our technique achieves good results in terms of accuracy, predicting correctly the results in more than 80%. It can be used to provide a more effective reputation system for electronic negotiations, which can be very useful as a support decision mechanism for buyers.