数字阅读领域热点识别与主题演化路径研究  

Hotspots Detection and Themes Evolution of Digital Reading

作　　者：赵霞[1] ZHAO Xia(Educational Institute of Jilin Province,Changchun 130022,China)

机构地区：[1]吉林省教育学院,吉林长春130022

出　　处：《情报科学》2023年第5期34-41,共8页Information Science

基　　金：吉林省教育科学“十四五”规划2023年度重点课题“中华优秀传统文化数字化传承机制构建研究”(RD2329)。

摘　　要：【目的/意义】数字阅读给人们的知识与信息获取带来了巨大的变化,识别数字阅读领域的研究热点及其主题演化路径,有助于对数字阅读领域建立起动态的全景化视野。【方法/过程】文章以数字阅读领域的高水平论文为基础数据源,基于关键词共现关系构建领域知识网络,通过高频次与高度值关键词识别领域研究热点,采用SLM社团发现算法和主题密度图跟踪分析领域的主题演化路径。【结果/结论】研究结果表明,数字阅读领域已具有相对稳定的知识体系架构;从数字出版到阅读推广再到问题消解,领域研究逐渐走向成熟;从关注阅读形式到关注阅读效果,领域研究进入内涵式发展道路。【创新/局限】研究工作主要聚焦于国内学术界具有代表性的高水平研究层次,未来的研究工作将纳入更广泛的数据来源,进行更加全面细致地研究。【Purpose/significance】Digital reading has brought great changes to people's knowledge and information acquisition.Identifying research hotspots and themes evolution path in digital reading will help to establish a dynamic panoramic vision of digital reading.【Method/process】This article uses high-level papers in digital reading domain as the basic data source,constructs domain knowledge network based on the co-occurrence keywords,and identifies research hotspots through high-frequency and high-degree keywords.The SLM community discovery algorithm and density visualization of theme are used to track the themes evolution path.【Result/conclusion】The results show that the digital reading domain has a relatively stable knowledge structure;from digital publishing to reading promotion to problem resolution,digital reading is gradually becoming mature;from focusing on reading form to focusing on reading effect,digital reading has entered a connotative development path.【Innovation/limitation】The research work mainly focuses on the representative high-level research,and future research work will incorporate a wider range of data sources for more comprehensive and detailed research.

关 键 词：数字阅读 研究热点 主题演化 网络分析 社团发现 

分 类 号：G250.7[文化科学—图书馆学]