Predicting Product Adoption in Large Social Networks for Demand Estimation

摘要：

　　Recent advances in social media that allow better access to social networks of customers have profound technical and economic implications for design and innovation research.This paper focuses on product adoption probability prediction in the context of large social networks,which paves the way for demand modeling.Traditional approaches to demand modeling in design are mainly based on customer preferences,such as utility theory or discrete choice models,which neglect the importance of explicitly modeling of customers purchase (i.e.,adoption) decisions.The paper presents an integrated approach to quantify social network effects on customer choice behavior and predict product adoption probabilities through data mining from large-scale social media data.

关键词： Product adoption social networks product demand modeling

作者: Feng ZHOU Yangjian JI Roger J.JIAO

作者单位: The Woodruff School of Mechanical Engineering, Georgia Institute of Technology,Atlanta, GA 30332-040 Industrial Engineering Centre, Department of Mechanical Engineering, Zhejiang University, Hangzhou 3

会议类型: 国际会议

会议名称: The 21st ISPE International Conference on Concurrent Engineering (2014国际并行工程学术会议)

会议地点: 北京

会议语种:英文

页码: 890-899

在线出版日期: 2014-09-08（万方平台首次上网日期，不代表论文的发表时间）