| 图书馆微信公众平台推文主题传播研究 |
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| 引用本文： | 王磊.图书馆微信公众平台推文主题传播研究[J].现代情报,2018,38(10):132-141. |
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| 作者姓名： | 王磊 |
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| 作者单位： | 合肥工业大学图书馆, 安徽 合肥 230009 |
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| 基金项目： | 中央高校基本科研业务费专项资金资助项目"扎根社交媒体大数据的社会化阅读探究"（项目编号：JS2018HGXJ0042）；合肥工业大学研究生培养质量工程项目（项目编号：2017YJG22）。 |
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| 摘 要： | 从推文内容分类角度开展高校图书馆微信公众平台推文主题传播研究。首先引入机器学习中LDA文档主题生成模型进行微信公众平台推文的主题聚类，之后通过设计针对性算法——主题传播指数（Topic Communication Index，TCI）对微信公众平台推文的不同主题开展传播效果量化分析，并从信息接受、认同角度尝试性地分析了造成主题内传播效果差异的原因。最后根据研究结果得到适合高校图书馆微信公众平台运营的建议。
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| 关 键 词： | 图书馆 微信公众平台 推文 主题模型 传播 |
The Topic Communication Study on Articles Pushed by the WeChat Public Platform of Libraries |
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| Authors: | Wang Lei |
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| Institution: | Library, Hefei University of Technology, Hefei 230009, China |
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| Abstract: | From the perspective of content classification of articles pushed by the WeChat public platform of "Constructing World-class University" libraries,the paper carried out the article topic communication research.Firstly,Latent Dirichlet Allocation(LDA)model in machine learning was introduced to cluster the topic of these articles.Afterwards,a quantitative analysis for the communication effect of different topics was conducted through a targeted algorithm(Topic Communication Index,TCI).And from the perspective of information acceptance and identification,the paper tried to analyze the causes of differences in the communication effect within the topic.Finally,according to the conclusions of this study,suggestions were put forward to promote communication effect of WeChat public platform. |
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| Keywords: | library WeChat public platform pushed articles latent dirichlet allocation communication |
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