文献类型：期刊文献

中文题名：面向领域微博权威性人物分析技术与研究

英文题名：Domain-oriented microblog authoritative user analysis and research

作者：张亚[1];阮彤[1];丁军[1]

机构：[1]华东理工大学信息科学与工程学院自然语言处理与大数据挖掘实验室,上海200237

年份：2014

卷号：31

期号：10

起止页码：2907

中文期刊名：计算机应用研究

外文期刊名：Application Research of Computers

收录：CSTPCD;;北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；

基金：国家科技支撑计划资助项目(2013BAH11F03)

语种：中文

中文关键词：社交网络;领域词典;领域微博;权威性用户;被关注度;领域微博权威性用户度量模型

外文关键词：social network ; domains-dictionary ; domains-microblog; authoritative user; followed ; domains-mieroblog authoritative user ranking model（DMAURank）

摘要：为了精准地获取微博领域权威性用户排序列表,在现有研究成果的基础上以新浪微博为研究对象,手动构建领域词典,面向微博领域提出了领域微博权威性用户度量模型(domains-microblog authoritative user ranking model,DMAURank)。该模型使用基于PageRank与用户行为权值相结合的评价方法。将实验结果与用户平均转发数排名和粉丝数排名进行对比,发现基于PageRank与用户行为权值相结合的用户被关注度有效降低了粉丝数目的过大影响。
In order to accurately obtain domain-microblog authoritative user ordered list, based on the results of existing re- search to Sina microblog as the research object, this paper constructed field dictionaries manually, and proposed a measurement model DMUARank of domain-microblog users＇ authority based on the evaluation method combining PageRank and user beha- vior weights. At the end, it contrasted the experimental results with the ranks based on fans and average number of user forward- ing. Then it found that this model can reduce the too large impact of fans number effectively and identify authoritative users.