Opinion data mining based on DNA method and ORA software

文献类型： 外文期刊

第一作者： Tian, Ru-Ya

作者： Tian, Ru-Ya;Wu, Lei;Liang, Xiao-He;Zhang, Xue-Fu;Tian, Ru-Ya;Zhang, Xue-Fu;Liang, Xiao-He

作者机构：

关键词： Opinion data mining;Dynamic Network Analysis;ORA;Rumor intervention

期刊名称：PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS （ 影响因子：3.263； 五年影响因子：2.866 ）

ISSN： 0378-4371

年卷期： 2018 年 490 卷

页码：

收录情况： SCI

摘要： Public opinion, especially the online public opinion is a critical issue when it comes to mining its characteristics. Because it can be formed directly and intensely in a short time, and may lead to the outbreak of online group events, and the formation of online public opinion crisis. This may become the pushing hand of a public crisis event, or even have negative social impacts, which brings great challenges to the government management. Data from the mass media which reveal implicit, previously unknown, and potentially valuable information, can effectively help us to understand the evolution law of public opinion, and provide a useful reference for rumor intervention. Based on the Dynamic Network Analysis method, this paper uses ORA software to mine characteristics of public opinion information, opinion topics, and public opinion agents through a series of indicators, and quantitatively analyzed the relationships between them. The results show that through the analysis of the 8 indexes associating with opinion data mining, we can have a basic understanding of the public opinion characteristics of an opinion event, such as who is important in the opinion spreading process, the information grasping condition, and the opinion topics release situation. (C) 2017 Elsevier B.V. All rights reserved.

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