微信用户活跃度影响因素分析  

Analysis of Factors Affecting Active Degree of WeChat Users Based on Principal Component Analysis

作　　者：黄炜[1,2] 李总苛 李岳峰[1] 

机构地区：[1]湖北工业大学经济与管理学院,湖北武汉430068 [2]武汉理工大学管理学院,湖北武汉430072

出　　处：《湖北工业大学学报》2015年第6期29-32,63,共5页Journal of Hubei University of Technology

基　　金：国家自然科学基金项目(71303075;71571064)

摘　　要：通过主成分分析法,应用SPSS统计分析软件,从11个调查指标中,选取了3个主成分,建立主成分综合分析模型,进而对微信用户活跃度进行分析。经过实际数据验证显示,所选取的3个主成分可以很好区分微信用户的活跃度,进而达到了对微信用户进行甄别的目的。The article analyzed the active level of WeChat users based on the principal component analysis.By means of principal component analysis and SPSS statistical analysis software,3main components were selected from the 11 survey indicators,and then the main component analysis model was established.The data validation shows that the 3 main components can well distinguish WeChat users,and then to achieve the screening purpose of WeChat users.

关 键 词：微信 主成分分析 统计产品与服务解决方案 

分 类 号：G353[文化科学—情报学]