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Help
If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
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'.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
