{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/121544"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/121544","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Revenue analysis of auctions over social networks","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. 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The submission was exported from vireo on 2023-12-04 without embargo terms","The student, Adi Pasic, accepted the attached license on 2023-07-18 at 03:17.","The student, Adi Pasic, submitted this Thesis for approval on 2023-07-18 at 03:28.","This Thesis was approved for publication on 2023-07-18 at 16:45.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19726 on 2023-12-04 at 17:03:19","The emergence of social networks has enabled e-commerce at the local scale, facilitated by sites such as Craigslist and Facebook Marketplace, allowing individuals to discover and exchange goods with each other directly. Sellers can use social networks to match items with buyers in diverse or saturated markets. This thesis investigates auctions with graphical structure, in which bidders can both submit bids for the item and refer other bidders to participate in the auction. This thesis has two main contributions. First, the average revenue is derived across distinct graph structures for an existing auction format under assumptions on bidder valuation distributions and strategic behavior. Second, a new auction format is proposed for multi-item auctions and is shown to outperform existing multi-item auctions in a specific simulation scenario."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Revenue analysis of auctions over social networks"]}]}],"canonical_facts":{"dc:contributor":["Hajek, Bruce E"],"dc:creator":["Pasic, Adi"],"dc:date":["2023-08","2023-07-18"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. 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First, the average revenue is derived across distinct graph structures for an existing auction format under assumptions on bidder valuation distributions and strategic behavior. Second, a new auction format is proposed for multi-item auctions and is shown to outperform existing multi-item auctions in a specific simulation scenario."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/121544"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Adi Pasic"],"dc:subject":["Diffusion Auction","Mechanism Design","Social Networks"],"dc:title":["Revenue analysis of auctions over social networks"],"dc:type":["text"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:00Z"}