【摘要】 本文利用网络爬虫工具,对新浪微博用户数据进行了广泛的采集,然后使用SPSS软件检验了粉丝数、关注数、微博数、收藏数四个特征变量的分布状态及其相关关系。在此基础上,综合运用聚类分析法对微博用户进行了分类,进而分析了每个用户类别的特征及影响力,以期为网络的多元化服务与管理提供参考。更多还原

【Abstract】 Using web crawler tool, this paper collects extensive data from Sina micro-blog users, and tests the distributionstatus and mutual relationships of four feature variables, i.e. number of fans, number of attentions, number of micro-blogs,and number of collections. On the basis of the results, comprehensive cluster analysis method is used to classify themicro-blogs and the user-types, their characteristics and influences are examined to promote diversified services andadministration for the network.更多还原