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dc.contributor.authorLam, Hon
dc.contributor.authorWu, Chen
dc.contributor.editorIrfan Awan
dc.contributor.editorMuhammad Younas
dc.contributor.editorTakahiro Hara
dc.contributor.editorArjan Durresi
dc.date.accessioned2017-01-30T14:16:24Z
dc.date.available2017-01-30T14:16:24Z
dc.date.created2010-02-08T20:03:23Z
dc.date.issued2009
dc.identifier.citationLam, Hon Wai and Wu, Chen. 2009. Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank, in Irfan Awan, Muhammad Younas, Takahiro Hara and Arjan Durresi (ed), IEEE 23rd International Conference on Advanced Information Networking and Applications (AINA 2009), May 26 2009, pp. 778-785. Bradford, UK: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/38286
dc.description.abstract

User Generated Content (UGC) plays a key role in the current and future e-commence at the era of Web 2.0. As an important form of UGC, the online auction site eBay has enjoyed tremendous growth rates since its inception. Many social networks emerge across different communities on eBay. The notion of viral marketing has been proposed in both literature and practice. However, in order to find the "opinion leader" in the social network, marketers need to have a sound analytic tool to rank potential buyers. In order to tackle this issue, this paper propose a BuyerRank, a Social Network Analysis (SNA) model that assists marketers to rank potential buyers based on their future influence estimated from their past auction/purchase behaviour on eBay. The paper also provides a detailed state-of-the-art review of recent work on SNA and viral marketing in the light of the Web 2.0 e-commerce context.

dc.publisherIEEE Computer Society
dc.relation.urihttp://portal.acm.org/citation.cfm?id=1578248
dc.subjectWeb 2.0
dc.subjectUser Generated Content
dc.subjectViral Marketing
dc.subjecte-Commernce
dc.subjectPageRank
dc.subjectSocial Network Analysis
dc.subjecteBay
dc.titleFinding influential ebay buyers for viral marketing - a conceptual model of BuyerRank
dc.typeConference Paper
dcterms.source.startPage778
dcterms.source.endPage785
dcterms.source.titleProceedings of the IEEE 23rd international conference on advanced information networking and applications (AINA 2009)
dcterms.source.seriesProceedings of the IEEE 23rd international conference on advanced information networking and applications (AINA 2009)
dcterms.source.isbn9781424440009
dcterms.source.conferenceIEEE 23rd International Conference on Advanced Information Networking and Applications (AINA 2009)
dcterms.source.conference-start-dateMay 26 2009
dcterms.source.conferencelocationBradford, UK
dcterms.source.placeUK
curtin.note

Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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