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。
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 subscribedwere 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.
作者
于卫红
李杰
YU WeiHong LI Jie(Transportation Management College, Dalian Maritime University, Dalian 116026, China)
出处
《情报工程》
2017年第2期62-69,共8页
Technology Intelligence Engineering
基金
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