Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2

Research Article

Finding Sales Promotion and Making Decision for New Product Based on Group Analysis of Edge-Enhanced Product Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-02469-6_44,
        author={Yi Huang and Jianbin Tan and Bin Wu},
        title={Finding Sales Promotion and Making Decision for New Product Based on Group Analysis of Edge-Enhanced Product Networks},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2},
        proceedings_a={COMPLEX PART 2},
        year={2012},
        month={5},
        keywords={community detection product network group decision making},
        doi={10.1007/978-3-642-02469-6_44}
    }
    
  • Yi Huang
    Jianbin Tan
    Bin Wu
    Year: 2012
    Finding Sales Promotion and Making Decision for New Product Based on Group Analysis of Edge-Enhanced Product Networks
    COMPLEX PART 2
    Springer
    DOI: 10.1007/978-3-642-02469-6_44
Yi Huang1,*, Jianbin Tan1,*, Bin Wu1,*
  • 1: Beijing University of Posts and Telecommunications
*Contact email: huangyi@tseg.org, tanjianbin@tseg.org, wubin@bupt.edu.cn

Abstract

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 the dataset of handsets’ sale information collected from all outlets of a telecom operator of one province of China, with a period from Jan. 2006 to Jul. 2008. Then the edge enhanced model is applied on product network to divide all the products into several groups, according to which each outlet is assigned to class A or class B for a certain handset. Class A is defined as the outlet which sell the certain handset and contains all of handsets of its group, while other situation for class B which sell the certain handset too. It’s shown from the result of analysis on these two kinds of outlets that many handsets are sold better in outlets of class A than that of class B, even though the sales revenue of all these outlets in the time period is close. That is to say the handsets within a group would promote the sale for each other. Furthermore, a method proposed in this paper gives a way to find out the important attributes of the handsets which lead them to br divided into the same group, and it also explains how to add a new handset to an existing group and where would the new handset be sold best.