摘要
本研究立足于RFM分析模式这一经典的分群方法,结合Fisher有序聚类算法,并以R,F这两个时间和行为变量定义出网络信息个体被利用过程的9种状态,得到网络信息分群中的五个群组等级状态,最后结合人民网强国论坛的数据进行了实证研究。
Based on the RFM analysis mode and Fisher optimal dissection mathod, R and F were used to define nine states of the utilization process of network information. Thereafter, five grouping levels of the network information were developed. And then, the study uses the data from the Forum on Making the Country Prosperous of People＇s Daily Online to validate and expound the effectiveness of the RF-F clustering model.
出处
《情报科学》
CSSCI
北大核心
2012年第10期1437-1441,1470,共6页
Information Science
基金
国家自然科学基金重点项目(70833005)
