| 于卫红,李杰.面向舆情监管的大学生微信公众号关注情况分析[J].情报工程,2017,3(2):062-069 |
| 面向舆情监管的大学生微信公众号关注情况分析 |
| analysis of college students’ attention toWechat official accounts oriented to Publicopinion supervision of campus |
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| DOI：10.3772/j.issn.2095-915X.2017.02.008 |
| 中文关键词: 校园舆情，微信公众号，Hadoop 大数据平台，大数据挖掘 |
| 英文关键词: Campus public opinion, WeChat official accounts, hadoop big data platform, big data mining |
| 基金项目:本文受2015年度教育部人文社会科学研究规划基金项目：微信环境下基于大数据的高校舆情监管机制研究（15YJAZH102）的资助 |
| 作者 | 单位 | | 于卫红 | 大连海事大学交通运输管理学院 | | 李杰 | 大连海事大学交通运输管理学院 |
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| 中文摘要: |
| 近年来，微信公众平台迅猛发展，在大学校园内，微信公众平台已成为舆论的生成地和重要的
扩散渠道，因此，应全面分析大学生对微信公众号的关注情况，为建立及时有效的舆情引导和监管机
制奠定基础。本文收集了近 2000 名在校生的基本信息及其所关注的公众号信息，分析了样本数据的
特征，构建了大学生微信公众号关注情况分析模型，并给出了一个基于 Hadoop MapReduce 模式与
Eclat 算法的分析实例。 |
| 英文摘要: |
| In recent years, with the rapid development of WeChat official accounts, they have become the
generation of public opinion and important diffusion channels in university campuses. Therefore, in order
to establish a timely and effective public opinion guidance and supervision mechanism, a comprehensive
analysis of college students’attention to WeChat official accounts need to be done. In this paper, the basic
information of nearly 2000 students, and the information of official accounts which the students subscribed were collected. The characteristics of sample data were analyzed. Moreover, a model for analyzing college
students’ attention to WeChat official accounts were constructed, and an analysis case based on Hadoop
MapReduce and Eclat algorithm were presented. |
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