Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Communities in Cyberspace
FANMOD: a tool for fast network motif detection
Bioinformatics
Efficient Detection of Network Motifs
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
The roles of players and reputation: evidence from eBay online auctions
Decision Support Systems
Netprobe: a fast and scalable system for fraud detection in online auction networks
Proceedings of the 16th international conference on World Wide Web
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
Power-Law Distributions in Empirical Data
SIAM Review
An effective early fraud detection method for online auctions
Electronic Commerce Research and Applications
Anatomy of a web-scale resale market: a data mining approach
Proceedings of the 22nd international conference on World Wide Web
Detecting online auction shilling frauds using supervised learning
Expert Systems with Applications: An International Journal
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Commerce networks involve buying and selling activities among individuals or organizations. As the growing of the Internet and e-commerce, it brings opportunities for obtaining real world online commerce networks, which are magnitude larger than before. Getting a deeper understanding of e-commerce networks, such as the eBay marketplace, in terms of what structure they have, what kind of interactions they afford, what trust and reputation measures exist, and how they evolve has tremendous value in suggesting business opportunities and building effective user applications. In this paper, we modeled the eBay network as a complex network. We analyzed the macroscopic shape of the network using degree distribution and the bow-tie model. Networks of different eBay categories are also compared. The results suggest that the categories vary from collector networks to retail networks. We also studied the local structures of the networks using motif profiling. Finally, patterns of preferential connections are visually analyzed using Auroral diagrams.