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BuyerRank: Online Social Network Analysis for Viral Marketing: A method of Online Social Network Analysis - Softcover
Inhaltsangabe
In recent years following the growing interest in online social network analysis, 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 research proposes the UserRank and BuyerRank algorithms, both Social Network Analysis models that aim to assist marketers to rank potential buyers based on their future influence estimated from their past auctions/purchase behaviours on eBay.The experiments carried out using simulated data that is similar to that of which is obtained from real world environments were applied to the UserRank and BuyerRank algorithms. The research finding shows that it is possible to determine the most connected user who also has the highest buying capabilities or ?buying power'.
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Reseña del editor
In recent years following the growing interest in online social network analysis, 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 research proposes the UserRank and BuyerRank algorithms, both Social Network Analysis models that aim to assist marketers to rank potential buyers based on their future influence estimated from their past auctions/purchase behaviours on eBay.The experiments carried out using simulated data that is similar to that of which is obtained from real world environments were applied to the UserRank and BuyerRank algorithms. The research finding shows that it is possible to determine the most connected user who also has the highest buying capabilities or 'buying power'.
Biografía del autor
Completed Honours Degree in Information Systems, currently completing PhD in the fields of Natural Language Processing, Text Mining and Ontology, under the Curtin Research Institute - DEBII (digital ecosystems and business intelligence institute).
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BuyerRank: Online Social Network Analysis for Viral Marketing
Verlag:
LAP LAMBERT Academic Publishing Aug 2010, 2010
ISBN 10: 3838389891
ISBN 13: 9783838389899
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -In recent years following the growing interest in online social network analysis, 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 research proposes the UserRank and BuyerRank algorithms, both Social Network Analysis models that aim to assist marketers to rank potential buyers based on their future influence estimated from their past auctions/purchase behaviours on eBay.The experiments carried out using simulated data that is similar to that of which is obtained from real world environments were applied to the UserRank and BuyerRank algorithms. The research finding shows that it is possible to determine the most connected user who also has the highest buying capabilities or ¿buying power''.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. Artikel-Nr. 9783838389899
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BuyerRank: Online Social Network Analysis for Viral Marketing : A method of Online Social Network Analysis
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838389891
ISBN 13: 9783838389899
Gebraucht
Softcover
Anbieter: Buchpark, Trebbin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 8744826/1
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