Social Buying Metanetwork Modeling and Analysis

摘要：

Many business modes in e-commerce emerged based on online or offline social network,such as group-buying,social buying and viral marketing. Social network methodology provides a powerful abstraction of the structure and dynamic of diverse kinds of people or people-to-event interaction. However current challenge is that the target environments involve large amounts of relational data that characterize dynamic,often distributed, decision-making situations. Dynamic Network Analysis based metanetwork modeling provides an approach and a tool to deal with such cases. This paper first proposed a metanetwork framework to describe groupbuying and Word-of-Mouth network in social buyer websites. Secondly we provided a methodology to support dynamic metanetwork analysis and social behavior analysis. Case research described the process of modeling and analysis,and application on buyer behavior analysis by using cluster and timeinterval sequential pattern mining method.

关键词： social buying metanetwork dynamic network analysis buyer behavior mining

作者: Xiao Liu Jianmei Yang

作者单位: College of Economics,Jinan University,Guangzhou,510632,China School of Business Administration,South School of Business Administration,South China University of Technology,Guangzhou,510641,China.

会议类型: 国际会议

会议名称: The Tenth Wuhan International Conference on E-Business(第十届武汉电子商务国际会议)

会议地点: 成都

会议语种:英文

页码: 211-219

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）