摘要
通过操纵微博提升排名的行为严重干扰了正常的微博排名秩序,现有的微博异常排名检测方法忽略了微博拓扑对微博排名的影响.文中通过比较微博网络中随机链接的微博BlogRank值与全连接、环状拓扑微博联盟中目标微博的BlogRank值,提出一种基于提升系数的微博异常排名检测方法.在仿真数据集的实验表明,该方法能通过微博拓扑有效地识别微博异常排名.
The behavior of promoting the rank of microblogging through the manipulation of other microbloggings has shown to severely disturb the normal order.Current methods ignore the influence of microblogging topology on the rank of microblogging.In this paper,we analyze the BlogRank of random link,full-mesh and ring topology microblogging alliance respectively,and then we proposed a method to detect abnormal microblogging rank using the boost factor of microblogging.Experimental results showed that the proposed method was effective in distinguishing the abnormal rank of microblogging at topology level.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2013年第4期488-493,共6页
Journal of Harbin Engineering University
基金
国家自然科学基金资助项目(61272186
61100007)
黑龙江省博士后基金资助项目(LBH-Z12068)
哈尔滨工程大学自由探索基金资助项目(HEUCF100608)
