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出 处:《情报理论与实践》2011年第11期121-125,共5页Information Studies:Theory & Application
基 金:国家自然科学基金项目"基于自组织数据挖掘的CRM客户分析研究"的成果;项目编号:70771067
摘 要:文章通过对微博用户的信息和关系数据进行决策树分析、相关性分析和关联规则来挖掘用户特征,并对微博网络进行核心用户发掘。结果表明:微博中的名人具有关注数小,被关注数大的特征;用户趋向于通过关注他人和积极发布微博文章两种方法来提高被关注度;愿意公布性别或自我描述的用户,通常愿意公布地址和发布博文,而不愿意公布地址、性别或自我描述的用户,通常不愿意公布其他两项;对微博网络进行核心用户挖掘并进行个性化营销是可行的。Based on the decision-tree analysis and correlation analysis of the micro-bloggers' information and relationship data as well as their association rules,this paper mines the characteristics of the micro-bloggers and finds the core micro-bloggers of the micro-blogging network.The results show that the celebrity micro-bloggers have the characteristics of less attention on others but more attention from others.The micro-bloggers tend to increase their degree of receiving attention by giving attention to others and being active in publishing micro-blogs.The micro-bloggers who are willing to publicize their gender or describe themselves are usually willing to publicize their address and publish their micro-blogs.The users who are unwilling to publicize their address,gender or describe themselves are generally unwilling to publicize the other two items.It's feasible to mine the core micro-bloggers of the micro-blogging network and engage in personalized marketing.
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