图书情报工作 ›› 2019, Vol. 63 ›› Issue (13): 52-65.DOI: 10.13266/j.issn.0252-3116.2019.13.006

• 工作研究 • 上一篇    下一篇

高校图书馆与公共图书馆微信公众平台比较研究

吕美霞1,2, 王磊1   

  1. 1. 合肥工业大学图书馆 合肥 230009;
    2. 安徽大学管理学院 合肥 230009
  • 收稿日期:2018-10-18 修回日期:2019-01-21 出版日期:2019-07-05 发布日期:2019-07-05
  • 通讯作者: 王磊(ORCID:0000-0002-8000-7223),信息咨询与学科服务部主管,副研究馆员,研究生校外导师,博士,通讯作者,E-mail:wangl@hfut.edu.cn
  • 作者简介:吕美霞(ORCID:0000-0002-2848-8058),硕士研究生。
  • 基金资助:
    本文系安徽省高等学校图书情报工作委员会基金项目重点课题"社会化阅读环境下读者信息采纳预测研究"(项目编号:TGW18A01)和中央高校基本科研业务费资助项目(项目编号:JZ2018HGBZ0114)研究成果之一。

The Comparative Study on WeChat Public Platform Between University Libraries and Public Libraries

Lv Meixia1,2, Wang Lei1   

  1. 1. Hefei University of Technology Library, Hefei 230009;
    2. School of Management, Anhui University, Hefei 230009
  • Received:2018-10-18 Revised:2019-01-21 Online:2019-07-05 Published:2019-07-05

摘要: [目的/意义]由于微信公众平台提升了图书馆信息传播的智能化水平,增强了图书馆服务效能,已被我国图书馆作为重要的自媒体平台广泛应用。在此背景下,针对高校图书馆与公共图书馆微信公众平台进行比较研究具有重要意义。[方法/过程]首先,利用社交媒体大数据平台和网页爬虫技术对微信公众平台推文外部描述和推文内部描述数据进行采集,数据清洗后存储在mongo DB数据库中。其次,利用微信传播指数算法计算高校图书馆与公共图书馆微信公众平台传播指数。同时,引入机器学习中的文档主题生成模型(LDA)开展这两类图书馆微信公众平台推文文本的主题分类研究。最后,提出信息收受综合指数(IA&AI)的概念与量化方法,并在设置IA&AI阈值的条件下进行基于代表性推文特征指标统计的比较研究。[结果/结论]高校图书馆与公共图书馆微信公众平台阅读数与点赞数均存在密切正相关关系;高校图书馆公众平台传播影响力较公共图书馆稍低,但这两类图书馆都存在影响力两极分化现象;比较分析后找到高校图书馆与公共图书馆推文主题异同以及较高或较低信息收受综合指数推文的信息特征差异。最后根据研究结论提出针对这两类图书馆微信公众平台运营的建议。

关键词: 图书馆, 微信公众平台, 文档主题生成模型, 信息收受综合指数, 比较研究

Abstract: [Purpose/significance] As the WeChat public platform promotes the intelligent level of library information dissemination and enhances the efficiency of library services, it has been widely used by Chinese libraries as an important self-media platform. In this context, this paper attempts to compare the WeChat public platform of university libraries and public libraries by the data of WeChat public platform.[Method/process]Firstly, the external and internal description data pushed in WeChat public platform was collected via the big data platform of social media and web crawler technology. After cleaning, this data was stored in the Mongo DB database. Secondly, the WeChat communication Index (WCI) was calculated through corresponding algorithm. At the time, the latent dirichlet allocation (LDA) was applied to carry out the topic classification research of texts. Finally, the conceptand quantitative method of information accepting and adopting index(IA&AI) was proposed, and the text feature was extracted by setting of IA&AI threshold.[Result/conclusion] There is strongly positive correlation between the number of readings and the number of praises; theoverall influence of the public platform of university libraries is slightly lower than that of public libraries, but the polarization of WCI exists in both kinds of libraries; after comparative analysis, the similarities and differences of topic classification and text features in high(or low) IA&AI's text are found.Finally, based on the research conclusions, some suggestions were put forward to operate the WeChat public platform of the two kinds of libraries.

Key words: library, WeChat public platform, latent dirichlet allocation, information accepting and adopting index, comparative study

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