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基于分位数回归的网络群体极化度量
引用本文:杜杨沁,霍有光,锁志海. 基于分位数回归的网络群体极化度量[J]. 图书情报工作, 2011, 55(24): 38-43
作者姓名:杜杨沁  霍有光  锁志海
作者单位:1. 西安交通大学人文社会科学学院;2. 西安交通大学信息与网络中心;
基金项目:陕西省软科学计划资助项目
摘    要:网络群体极化现象是非理性行为的重要表现之一,如何及时发现群体极化的倾向是舆情预警和引导是否有效的关键所在。引入分位数回归模型,以网络论坛为研究对象,尝试形成网络群体极化预警定量指标,以快速形成舆情应急预案。

关 键 词:群体极化  网络舆情  分位数回归  
收稿时间:2011-06-02

Internet Group Polarization Measurement Based on Quantile Regression
Du Yangqin Huo Youguang Suo Zhihai. Internet Group Polarization Measurement Based on Quantile Regression[J]. Library and Information Service, 2011, 55(24): 38-43
Authors:Du Yangqin Huo Youguang Suo Zhihai
Affiliation:1. School of Humanities and Social Science, Xi’an Jiaotong University,;2. Information Center, Xi’an Jiaotong University,;
Abstract:Many scholars find that the phenomenon of Internet group polarization is one of the most important phenomenon of Internet irrational behavior. So how to find the tendency of group polarization is the key to determine the effectiveness of early warning and guiding. This paper introduces quantile regression model, takes online forums as the research object, tries to form early warning indicators of Internet group polarization to rapidly form the emergency plan of public opinion.
Keywords:internet public opinion group polarization quantile regression
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