专题一:网络舆情的形成、发展与预测研究

网络意见领袖舆论引导能力的评判体系研究——基于灰色统计与层次分析法的模型构建

  • 谢新洲 ,
  • 杜智涛
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  • 1. 北京大学新闻与传播学院;
    2. 中国青年政治学院新闻与传播系
谢新洲,北京大学新闻与传播学院教授,博士,博士生导师,E-mail:xzxie@pku.edu.cn;杜智涛,中国青年政治学院新闻与传播系讲师。

收稿日期: 2013-04-02

  修回日期: 2013-07-20

  网络出版日期: 2013-08-05

基金资助

本文系国家自然科学基金资助项目"基于互联网网民言论信息的口碑监测、分析与管理研究" (项目编号:71073006)研究成果之一。

Research on the Evaluation System of Public Opinion Guiding Ability of Network Opinion Leaders——Based on the Model Construction through the Methods of Grey Statistics & AHP

  • Xie Xinzhou ,
  • Du Zhitao
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  • 1. School of Journalism & Communication, Peking University, Beijing 100871;
    2. Journalism & Communication Department, China Youth University for Political Sciences, Beijing 100089

Received date: 2013-04-02

  Revised date: 2013-07-20

  Online published: 2013-08-05

摘要

为了对网络意见领袖的舆论引导能力进行评判,首先,通过对相关研究的总结和经验假设,提出一个初始评判指标集;其次,通过对专家进行调查,运用灰色统计法,对这一初始评判指标集进行筛选,建立了一个由4个一级指标、12个二级指标构成的网络意见领袖舆情引导能力评判指标体系;第三,运用层次分析法,在专家群体决策的基础上对各评判指标赋予权重;最后,从猫扑论坛的精华帖作者中随机选取5位用户,运用这一模型计算其舆论引导能力,并对模型进行应用举例。

本文引用格式

谢新洲 , 杜智涛 . 网络意见领袖舆论引导能力的评判体系研究——基于灰色统计与层次分析法的模型构建[J]. 图书情报工作, 2013 , 57(15) : 20 -26 . DOI: 10.7536/j.issn.0252-3116.2013.15.003

Abstract

In order to evaluation the public opinion guiding ability of network opinion leaders, this paper focused on the following four aspects. Firstly, the authors put forward a set of initial evaluation index through summarizing the related studies and empirical assumptions. Secondly, the authors selected the initial evaluation index set through investigating on the experts and the method of grey statistics, and then established an evaluation system, which consists of 4 first grade indicators and 12 second grade indicators, about the public opinion guiding ability of network opinion leaders. Thirdly, the authors gave the weight to each indicator on the basis of experts-group decision-making through the method of AHP. Eventually, the authors selected 5 users randomly from the elite posts in the BBS of MOP, and then calculated the opinion guiding ability of the 5 users using the model, and in the end of the paper, took the application example of the mode.

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