基于微博重复发送的垃圾用户甄别  

Spammer Detection Based on Duplicate Microblog Post

作　　者：吴斌[1] 李冠辰 刘宇[1] 张雷[1] 王柏[1] 

机构地区：[1]北京邮电大学计算机科学学院,北京100876

出　　处：《数据采集与处理》2015年第1期117-125,共9页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金重点(71231002)资助项目;北京市教育委员会共建项目专项基金资助项目

摘　　要：针对微博平台上的垃圾用户甄别问题,本文提出了基于微博重复发送行为的垃圾用户行为建模和甄别算法。在真实微博垃圾用户数据分析的基础上,本建模方法综合考虑了微博垃圾用户的行为信息、社交网络信息和文本信息,从不同的角度对垃圾用户进行了分析和建模。在真实数据集上的实验证明了方法的有效性,并且对模型中若干参数进行了优化,同时也分析了垃圾用户行为信息、社交网络信息和文本信息对模型的影响程度。As the social networks（such as Sina Weibo）become more and more popular and significant,spammer′s behavior severely affects the credibility and readability on social network platforms.A spammer detection model along with the algorithm is proposed based on duplicate detection of microblog posts to detect spammers on Weibo platform.Based on analyses of real-world data,the model is built by considering user behavior information,user social network information and content information.Experiments on a collection of real Weibo data shows the effectiveness of the proposed model.Parameters′impaction to the model is also studied.The improvement of incorporating behavior information,content information and network information has been analyzed,hence the model is promising.

关 键 词：垃圾用户检测 微博重复发送 主题模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]