一种微博预警算法  

Early Warning Method for Microblog

作　　者：刘功申[1] 孟魁[1] 谢婧[1] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《计算机科学》2014年第12期33-37,共5页Computer Science

基　　金：面向网络舆论的定主题情感分析技术研究(61272441);海量网络舆情信息获取;分析及表达关键技术研究(61171173);973计划项目社交网络分析与网络信息传播的基础研究(2013CB329603)资助

摘　　要：以新浪微博为研究对象,基于用户特征将用户对微博转发量的影响力进行量化,提出了一种微博预警算法。首先,分别研究了大转发量与小转发量的微博作者的用户基本特征,获得其中对关键用户与非关键用户具有良好区分度的特征,并基于信息增益的特征选择法获得用户特征对用户关键性的区分度。随后,基于特征加权模型,提出了一种用户对微博转发量的影响力的量化算法。最后,提出了一种微博预警算法,该算法对给定的新发布的微博,以其作者及已有转发用户的特征就用户对该微博转发量的影响力进行量化,当影响力超过一定阈值时,输出预警信息。该算法可以有效控制敏感微博在网络上的传播及扩散。The paper used user＇s characteristics on Sina Weibo to measure a user＇s influence on the propagation of microblog,and then proposed an early warning method for microblog.Firstly,we studied the basic characteristics of users whose microblog leads to a large or a small amount of reposts.Then we found the characteristics that can best discriminate between critical users and non-critical users,and used the feature selection method based on information gain to quantify the discrimination for each user characteristic on user critical.Secondly,based on the feature weighting model,a quantization method for user＇s influence on the spread of microblog was proposed.Thirdly,a warning method for microblog was proposed.For a given newly released microblog,it sums up the influence value of the author and all other users who have already reposts the microblog.When the value exceeds a certain threshold,it outputs an warning.The microblog warning method can effectively control the propagation and spread for sensitive microblogs.

关 键 词：微博 关键用户 特征加权 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]