Analysis of Bidding Networks in eBay: Aggregate Preference Identification through Community Detection

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Analysis of Bidding Networks in eBay: Aggregate Preference Identification through Community Detection

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Title: Analysis of Bidding Networks in eBay: Aggregate Preference Identification through Community Detection
Author: Jin, R. Kang-Xing; Parkes, David C.; Wolfe, Patrick J.

Note: Order does not necessarily reflect citation order of authors.

Citation: Jin, R. Kang-Xing, David C. Parkes, and Patrick J. Wolfe. 2007. Analysis of bidding networks in eBay: Aggregate preference identification through community detection. Paper presented at AAAI Workshop on Plan, Activity and Intent Recognition: 66-73.
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Abstract: Statistical analysis of networks plays a critical role in the context of economics and the social sciences. Here we construct a bidding network to represent the behavior of users of the eBay marketplace. We study the eBay markets for digital cameras and liquid crystal display screens, and employ network analysis to identify aggregate structure in bidder preferences. The network that we construct associates auctions with nodes, and weighted edges between nodes capture the number of bidders competing in a pair of auctions, where said bidders ultimately win in only a single auction. We show that current community detection methods applied to this network allow for the identification of goods that are considered substitutes and complements, and thus the identification of aggregate preference information. In closing we suggest additional opportunities as well as challenges for the analysis of structured data in electronic markets.
Published Version: http://www.aaai.org/Papers/Workshops/2007/WS-07-09/WS07-09-010.pdf
Other Sources: http://www.eecs.harvard.edu/econcs/pubs/jin07.pdf
http://sisl.seas.harvard.edu/files/pub/JinParkesWolfe2007.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:3996848

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  • FAS Scholarly Articles [7594]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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