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JAIST Repository >
Center for Strategic Development of Science and Technology　2003-2008 >
JAIST PRESS Publications >
KICSS 2007 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/4097
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| Title: | An Approach to Implement A Trading Network Visualizing System for Internet Auctions |
| Authors: | Kobayashi, Masao
Ito, Takayuki |
| Keywords: | Internet Auction
Visualize
Graph
Transaction |
| Issue Date: | Nov-2007 |
| Publisher: | JAIST Press |
| Abstract: | 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 on an Internet auction. 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. In discussion, We considered this system from a point of view of formality and mentioned eigenvalue in particular at this time. |
| Description: | The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
KICSS 2007 : The Second International Conference on Knowledge, Information and Creativity Support Systems : PROCEEDINGS OF THE CONFERENCE, November 5-7, 2007, [Ishikawa High-Tech Conference Center, Nomi, Ishikawa, JAPAN] |
| Language: | ENG |
| URI: | http://hdl.handle.net/10119/4097 |
| ISBN: | 9784903092089 |
| Appears in Collections: | KICSS 2007
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| 16.pdf | | 1016Kb | Adobe PDF | View/Open |
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