| 高校网络群体性事件舆情演化规律初探——基于多项式拟合的定量分析 |
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| 引用本文： | 邓春林,杨柳,王涵之.高校网络群体性事件舆情演化规律初探——基于多项式拟合的定量分析[J].现代情报,2016,36(5):16-20. |
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| 作者姓名： | 邓春林 杨柳 王涵之 |
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| 作者单位： | 1. 湘潭大学公共管理学院, 湖南 湘潭 411105;2. 湘潭大学数学与计算科学学院, 湖南 湘潭 411105 |
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| 基金项目： | 湖南省教育厅优秀青年项目"网络群体性事件的发展规律及防范机制研究"(项目编号:15B244);湖南省科技厅人才计划项目(项目编号:2015RS4029);湘潭大学大学生创新项目;湘潭大学校级教改项目。 |
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| 摘 要： | 高校大学生群体由于文化素质高、思维活跃、关心社会、思想不够成熟等,在网络敏感事件的诱使下容易在网络上形成一些过激语言和行动,从而形成一些大规模的高校网络群体性事件,给社会造成了巨大的影响力。因此,有必要清楚地了解各类高校网络群体性事件网络舆情的演化规律,用定量分析的方法进行科学的论证和预测。本文通过搜集5个典型的高校网络群体事件舆情演化的历史数据,建立了基于多项式拟合的舆情演化规律模型,得到了各类高校网络群体性事件舆情演化的具体规律,为科学预测和及时应对高校网络群体性事件起到一定的借鉴作用。
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| 关 键 词： | 高校 网络群性体事件 演化规律 网络舆情 多项式拟合 |
Research on the Evolution Rule of Public Opinion of University Network Group Events——A Quantitative Analysis Based on Polynomial Fitting |
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| Authors: | Deng Chunlin Yang Liu Wang Hanzhi |
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| Institution: | 1. School of Public Administration, Xiangtan University, Xiangtan 411105, China;2. School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China |
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| Abstract: | Due to high quality of culture, the active thinking, the care for the society, and the immature of the ideas, etc., the groups of university students will easily form some radical words and actions on the network promoted by the sensitive events.It can form some large-scale university network group events and cause a tremendous influence to the society.Therefore, it is necessary for us to clearly understand the evolution rule of public opinion in various university network group event of network, and give quantitative analysis to the demonstration and scientific prediction.In this paper, by collecting the historical data of five typical colleges network group events of public opinion evolution, the paper established the public opinion evolution rule model based on the polynomial fitting, and found the specific rules of various university network group events in the evolution of public opinion.This work played a certain reference role in the scientific prediction and timely response to the university network group events. |
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| Keywords: | university network group event evolution rule internet public qpinion polynomial fitting |
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