A Transactional Relationship Visualization System in Internet Auctions

As Internet auctions have increased, so too has auction fraud. This paper describes the design of a system that supports fraud detection and market prediction by visualizing transaction networks on Internet auctions. Our system employs link mining techniques and user information. At this stage, we successfully showed visualized trading networks by extracting trading histories from an auction site. Using a visualized graph, the system shows suspiciousness with user ID information. Also, the system presents trading relationships as a network structure in various viewpoints. Furthermore, the system possesses an explanation function on a visualized trading network that predicts which buyers and sellers are active and did better behaviors. Our preliminary experiment demonstrates that the graph presentation function is scalable enough against the number of sellers and buyers.

[1]  Li Lin,et al.  Mining in-depth patterns in stock market , 2008, Int. J. Intell. Syst. Technol. Appl..

[2]  Chengqi Zhang,et al.  Knowledge actionability: satisfying technical and business interestingness , 2007, Int. J. Bus. Intell. Data Min..

[3]  Longbing Cao,et al.  Multi-strategy Integration for Actionable Trading Agents , 2007, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

[4]  Chengqi Zhang,et al.  F-trade: an agent-mining symbiont for financial services , 2007, AAMAS '07.

[5]  Christos Faloutsos,et al.  Netprobe: a fast and scalable system for fraud detection in online auction networks , 2007, WWW '07.

[6]  Giuseppe M. L. Sarnè,et al.  MASHA: A multi-agent system handling user and device adaptivity of Web sites , 2006, User Modeling and User-Adapted Interaction.

[7]  Yamana Hayato,et al.  Support system for detecting abuse users in internet auction , 2006 .

[8]  Toramatsu Shintani,et al.  A robust combinatorial auction mechanism against shill bidders , 2006, AAMAS '06.

[9]  Lise Getoor,et al.  Link mining: a survey , 2005, SKDD.

[10]  Chengqi Zhang,et al.  Agent Services-Driven Plug-and-Play in F-TRADE , 2004, Australian Conference on Artificial Intelligence.

[11]  Chengqi Zhang,et al.  Agent services-based infrastructure for online assessment of trading strategies , 2004, Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004)..

[12]  Hector Garcia-Molina,et al.  Combating Web Spam with TrustRank , 2004, VLDB.

[13]  Prithviraj Dasgupta,et al.  Multi-attribute dynamic pricing for online markets using intelligent agents , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[14]  Peter Dolog,et al.  Personalization in distributed e-learning environments , 2004, WWW Alt. '04.

[15]  Peter Brusilovsky.  KnowledgeTree: a distributed architecture for adaptive e-learning , 2004, WWW Alt. '04.

[16]  Esther David,et al.  Bidders' strategy for multi-attribute sequential english auction with a deadline , 2003, AAMAS '03.

[17]  Bart Selman,et al.  A principled study of the design tradeoffs for autonomous trading agents , 2003, AAMAS '03.

[18]  Michael P. Wellman,et al.  Walverine: a Walrasian trading agent , 2003, AAMAS '03.

[19]  M. Melnik,et al.  Does a Seller's Ecommerce Reputation Matter? Evidence from Ebay Auctions , 2003 .

[20]  Esther David,et al.  Protocols and strategies for automated multi-attribute auctions , 2002, AAMAS '02.

[21]  Paul Resnick,et al.  The value of reputation on eBay: A controlled experiment , 2002 .

[22]  Shou-De Lin,et al.  Designing the Market Game for a Trading Agent Competition , 2001, IEEE Internet Comput..

[23]  E. Friedman,et al.  Reputation systems , 2000, CACM.

[24]  Ananth N. Madhavan,et al.  Market Microstructure: A Survey , 2000 .

[25]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[26]  Andrew Hunter,et al.  On Artificial Adaptive Agents Models of Stock Markets , 1997, Simul..

[27]  Kozo Sugiyama,et al.  Graph Drawing by the Magnetic Spring Model , 1995, J. Vis. Lang. Comput..

[28]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[29]  Theodore Groves,et al.  Incentives in Teams , 1973 .

[30]  E. H. Clarke.  Multipart pricing of public goods , 1971 .

[31]  William Vickrey,et al.  Counterspeculation, Auctions, And Competitive Sealed Tenders , 1961 .

[32]  Makoto Yokoo,et al.  The effect of false-name bids in combinatorial auctions: new fraud in internet auctions , 2004, Games Econ. Behav..

[33]  Tung Chan,et al.  Artificial markets and intelligent agents , 2001 .

[34]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .