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Identifying Implicit Relationships Between Social Media Users to Support Social Commerce by Christopher C. Yang; Haodong Yang; Xuning Tang; Ling Jiang is a scholarly article available to read on EtoBox.

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The Internet is an ideal platform for business-to-consumer (B2C) and business-to-business (B2B) electronic commerce where businesses and consumers conduct commerce activities such as searching for consumer products, promoting business, managing supply chain and making electronic transactions. With the advance of Web 2.0 technologies and the popularity of social media sites, social commerce offers new opportunities of social interaction between electronic commerce consumers as well as social interaction between consumers and e-retailers. The user contributed content provides a tremendous amount of information that may assist in electronic commerce services. Social network analysis and mining has been a powerful tool for electronic commerce vendors and marketing companies to understand the user behavior which is useful for identifying potential customers of their products. However, the capability of social network analysis and mining diminishes when the social network data is incomplete, especially when there are only limited ties available. The social networks extracted from explicit relationships in social media are usually sparse. Many social media users who have similar interest

Author

Christopher C. Yang; Haodong Yang; Xuning Tang; Ling Jiang

Publisher

ACM

Published

2012

Language

EN