Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank

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...

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Bibliographic Details
Main Authors: Lam, Hon, Wu, Chen
Other Authors: Irfan Awan
Format: Conference Paper
Published: IEEE Computer Society 2009
Subjects:
Online Access:http://portal.acm.org/citation.cfm?id=1578248
http://hdl.handle.net/20.500.11937/38286
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author Lam, Hon
Wu, Chen
author2 Irfan Awan
author_facet Irfan Awan
Lam, Hon
Wu, Chen
author_sort Lam, Hon
building Curtin Institutional Repository
collection Online Access
description 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.
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institution Curtin University Malaysia
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publishDate 2009
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spelling curtin-20.500.11937-382862022-12-09T06:09:43Z Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank Lam, Hon Wu, Chen Irfan Awan Muhammad Younas Takahiro Hara Arjan Durresi Web 2.0 User Generated Content Viral Marketing e-Commernce PageRank Social Network Analysis eBay 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. 2009 Conference Paper http://hdl.handle.net/20.500.11937/38286 http://portal.acm.org/citation.cfm?id=1578248 IEEE Computer Society fulltext
spellingShingle Web 2.0
User Generated Content
Viral Marketing
e-Commernce
PageRank
Social Network Analysis
eBay
Lam, Hon
Wu, Chen
Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank
title Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank
title_full Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank
title_fullStr Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank
title_full_unstemmed Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank
title_short Finding influential ebay buyers for viral marketing - a conceptual model of BuyerRank
title_sort finding influential ebay buyers for viral marketing - a conceptual model of buyerrank
topic Web 2.0
User Generated Content
Viral Marketing
e-Commernce
PageRank
Social Network Analysis
eBay
url http://portal.acm.org/citation.cfm?id=1578248
http://hdl.handle.net/20.500.11937/38286