基于Leiden算法的我国图书情报领域人工智能应用研究热点演化与可视化分析  

Hotspot Evolution and Visual Analysis of Artificial Intelligence Application Research in Library and Information Science of China Based on the Leiden Algorithm

作　　者：阳昕 Yang Xin(Fudan University Library,Shanghai 200433,China)

机构地区：[1]复旦大学图书馆,上海200433

出　　处：《图书情报研究》2023年第2期64-71,共8页Library and Information Studies

摘　　要：[目的/意义]考察Leiden算法在文献聚类中的应用,并梳理我国图书情报领域人工智能应用研究的相关论文,分析该领域的热点演化情况,以期为后续相关研究方向提供参考。[方法/过程]采用词频分析法、关键词共现网络与Leiden社区发现算法等方法进行数据分析,利用Tableau和Gephi对结果进行可视化,以识别我国图书情报领域人工智能应用研究热点演化;并与多维尺度分析的聚类结果对比,分析Leiden算法的可行性。[结果/结论]结果表明,Leiden算法社区探测划分准确性较高,国内图书情报领域人工智能研究热点集中在智慧图书馆、大数据、智慧服务、机器学习、深度学习、知识图谱等领域。[Purpose/significance]The article analyzes the current research progress of artificial intelligence technologies in the field of Chinese library and information science,which can provide a reference for future research.[Method/process]The word-frequency analysis,keywords co-occurrence network,and the Leiden algorithm are conducted to recognize the research hotspots of artificial intelligence technologies in the field of Chinese library and information science.Tableau and Gephi are used for visualization analysis.[Result/conclusion]Compared with the clustering of multidimensional scaling analysis,the results show the feasibility and effectiveness of the Leiden algorithm.The main research hotspots are focused on the smart library,big data,smart service,machine learning,deep learning,and knowledge mapping.

关 键 词：图书情报 人工智能 词频分析 Leiden算法 聚类分析 

分 类 号：G353[文化科学—情报学]