%A He Jianmin, Wang Zhe %T The Pedigree Method to Mine Influential Clusters of Topic Information in Social Network %0 Journal Article %D 2015 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2015.05.09 %P 65-72 %V 31 %N 5 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4055.shtml} %8 2015-05-25 %X

[Objective] The paper aims to find the user groups (influential clusters in social network) which have great influence on others in particular topics. The user groups can be employed as spread media to support the marketing decisions of enterprises. [Methods] With the data collected from Sina micro-blog, use the pedigree method to mine the influential clusters in social network, and analyze the information distribution and interaction among individuals to mine the influential clusters. [Resuls] The proposed method can find the user groups which have high influence in social network. Enterprises can utilize the user groups to distribute the marketing information and enhance the guiding rate of product sale. [Limitations] Only consider the factor which compose the influential ability of individuals, and do not take the unconventional behaviors of micro-blog users into account. [Conclusions] This paper provides the theoretical basis and practical method to support the social marketing decisions of enterprises.