| 我国突发性网络舆情事件的关联网络结构分析 |
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| 引用本文： | 王超.我国突发性网络舆情事件的关联网络结构分析[J].现代情报,2009,39(12):121-130. |
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| 作者姓名： | 王超 |
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| 作者单位： | 兰州大学管理学院, 甘肃 兰州 730000 |
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| 基金项目： | 2017年教育部哲学社会科学研究重大课题攻关项目"大数据驱动的城市公共安全风险研究"（项目编号：16JZD023）；中央高校基本科研业务费专项资金资助重点项目"基于大数据的城市公共安全风险预警研究"（项目编号：17LZUJBWZD012）。 |
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| 摘 要： | 目的/意义] 对我国突发性网络舆情事件的要素进行内容归纳和关联分析，以发现网络舆情演化的结构特征，丰富对网络舆情传播规律的共性认识。方法/过程] 以人民网连续12年发布的《我国互联网舆情分析报告》的115个突发性网络舆情事件为研究对象，基于内容分析和共词网络分析方法，从"主体-主题-风险-诱因"四大维度来透视我国网络舆情事件的关联网络结构特征。结果/结论] 研究发现，我国突发性网络舆情事件的要素之间具有紧密的关联性；府际问责、政民互动与警民冲突构成我国舆情生态的基本主体关系；公众安全感和政府公信力在共词网络中具有重要影响力；经济利益、公平正义和道德诚信也是社会公众关注的永恒议题。
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| 关 键 词： | 网络舆情 突发事件 关联网络结构 共词网络 内容分析 |
Correlation Network Structure Analysis of Emergent Network Public Opinion Events in China |
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| Authors: | Wang Chao |
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| Institution: | School of Management, Lanzhou University, Lanzhou 730000, China |
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| Abstract: | Purpose/Significance] To summarize and association analysis the elements of emergent network public opinion events in China,so as to discover the structural characteristics of the evolution of network public opinion and enrich the common understanding of the law of network public opinion dissemination.Method/Process] Based on content analysis and Co-word network analysis,the paper took 115 emergencies of China's Internet Public Opinion Analysis Report published by People's Daily Online for 12 consecutive years as the research object,and perspective the structural characteristics and rules of China's Internet Public Opinion Development from four dimensions of "participants-theme-risk-inducement".Results/Conclusion] The study found that the elements of emergent network public opinion events in China were closely associated;intergovernmental accountability,interaction between the government and the people and conflicts between the police and the people constituted the basic subject relationship of public opinion ecology in China;public security and government credibility played an important role in the Co-word Network;economic interests,fairness and justice and moral integrity were also eternal topics of public concern. |
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| Keywords: | network public opinion emergencies correlation network structure co-word network content analysis |
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