FINDING SALES PROMOTION BASED ON GROUP ANALYSIS OF EDGE-ENHANCED PRODUCT NETWORKS
Much research work has been done on the competition between like products among outlets while rare work deals with the promotion effect of them. A novel method is proposed in this paper to find the promotive relationship of products from a network point of view. Firstly, a product network is built based on a dataset of handsets sale information with a period of 28 months, and its collected from all outlets of a telecom operator of one province of China. We then apply the edge enhanced model- referred in the following paper-on the product network to divide all the products into several groups, according to which each outlet is assigned to class A or class B. Class A is defined as the outlet which contains all of handsets of a given group, while other situation for class B. Its shown from the result of analysis on these two kinds of outlets, that the sale on the handsets within the same group contained in class As outlets is apparent better than that of class Bs, even though the sales revenue of all these outlets in the 28 months is close. That is to say the handsets within a group would promote the sale for each other. Furthermore, the influence produced by the new handset to the old ones is also included in this paper.
community detection product network group
Bin Wu ianbin Tan Yi Huang
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China
国际会议
北京
英文
1-7
2008-09-26（万方平台首次上网日期，不代表论文的发表时间）