摘要
Web2.0的广泛应用和新型社会化网络媒体的盛行,促使网络服务从以数据为主导开始转变为以用户或用户关系为核心。微博作为当下最流行的社会化网络服务媒体,其用户关系挖掘研究正是在这一背景下迅速兴起的一个新兴研究课题,并且逐渐受到人们越来越多的重视。首先依据微博用户的特点对微博用户关系挖掘的概念进行了阐释;然后,以微博用户关系挖掘的两个重要研究内容为主线,分别对微博用户社群分析和关键用户识别做细致的介绍和分析;最后总结了对微博用户关系挖掘的研究内容,并对未来的研究方向进行了展望。
With the widely spreading application of Web 2.0 and the ongoing popularity of the new social network medias, data based net- work service has been transformed as the core of the network services with users or user relationships. As one of the most prevalent social network services media, research of user relationship mining on microblog has become a novel topic'and has drawn more and more atten- tion. This paper f'LrSt discussed the definition of user relationship mining for microblog in terms of the characters of microblog users. Then, user group analysis and key users identifying, as the main clue of microblog user relationship mining, were separately summarized and ana- lyzed in detail. At last, this paper summarized the technologies of microblog user relationship mining and pointed out the directions of fu- ture research.
出处
《情报杂志》
CSSCI
北大核心
2012年第12期91-97,57,共8页
Journal of Intelligence
基金
国家自然科学基金项目"微博虚假信息及早检测与有效控制关键技术研究"(编号:61202271)
国家自然科学基金项目"不平衡数据的学习算法及应用研究"(编号:61070061)
教育部人文社会科学研究青年项目"突发事件的网络舆情监测及其应用研究"(编号:11YJCZH086)
广东外语外贸大学校级青年项目"基于数据挖掘的图书馆电子资源个性化推荐研究"(编号:11Q01)的研究成果
关键词
微博
用户社群分析
用户关系
关键用户识别
个性化推荐
microblog user group analysis user relationships key users identifying personalized recommendation