论文部分内容阅读
微博作为一个基于用户关系的信息分享、传播以及获取平台,在重大突发公共事件中表现出了重要的信息发布、动态追踪和民情民意的展现等特点.该文研究突发社会公共事件下,微博舆论的形成和传播;提出了微博的舆论传播模型,该模型基于平均场(mean field)假设,将微博用户分为未获得信息无观点的人群、已获得信息且明确支持某观点的人群和已获得信息且不支持任何观点的人群,通过考察未发表观点者对观点的接受概率p来研究网络中观点的传播特性;最后通过系统仿真表明该方法可以很好地模拟微博网络的观点传播.
As a platform for information sharing, dissemination and acquisition based on user relationship, weibo microblogging has shown important information release, dynamic tracking and display of public opinion and public opinion in major public emergencies. , The formation and dissemination of microblogging public opinion; Proposed microblogging media dissemination model, the model based on the mean field hypothesis, the microblogging users are divided into non-access to information without opinion of the crowd, has access to information and clearly support a View the crowd and has obtained the information and does not support any view of the crowd, by investigating the views of the views of those who did not express acceptance probability p to study the spread of viewpoints in the network; Finally, the system simulation shows that the method can be well simulated microblogging The spread of the network view.