2007年
A transactional relationship visualization system in Internet auctions
PROCEEDINGS OF THE IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY (IAT 2007)
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- 開始ページ
- 248
- 終了ページ
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- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/IAT.2007.47
- 出版者・発行元
- IEEE COMPUTER SOC
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.
- リンク情報
- ID情報
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- DOI : 10.1109/IAT.2007.47
- Web of Science ID : WOS:000252477900043