Knowledge structure transition in library and information science: topic modeling and visualization

Knowledge structure transition in library and information science: topic modeling and visualization
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图书情报学知识结构变迁:主题建模与可视化

DOI:
10.1007/s11192-020-03657-5
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发表时间:
2020
期刊:
影响因子:
3.9
通讯作者:
Kurata Keiko
Kurata Keiko
中科院分区:
管理学3区
文献类型:
--
作者:
Miyata Yosuke;Ishita Emi;Yang Fang;Yamamoto Michimasa;Iwase Azusa;Kurata Keiko

文献摘要

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本研究的目的是使用潜在狄利克雷分配(LDA)识别图书馆与信息科学(LIS)的主题,并将该领域的知识结构可视化为由特定主题组成,并从2000-2002年到2015-2017年过渡。运用LDA对这两个时期5种具有代表性的图书情报学期刊的1648篇研究论文进行了全文分析。每期共30个主题,根据术语的频率和文章的内容进行标记。这些主题使用LDAvis绘制在二维地图上,并根据它们在图中的位置和特征进行分类。虽然某些研究领域在过去的研究中一直存在,但它们对图书情报学知识结构的转变至关重要,并具有以下三个特点:(1)互联网成为2015-2017年图书情报学研究的前提。(2)理论方法或经验工作可以被认为是某些类别知识结构转变的一个因素。(3)从2000-2002年到2015-2017年,五种图书情报学核心期刊的主题多样性有所下降。
The purpose of this research is to identify topics in library and information science (LIS) using latent Dirichlet allocation (LDA) and to visualize the knowledge structure of the field as consisting of specific topics and its transition from 2000–2002 to 2015–2017. The full text of 1648 research articles from five peer-reviewed representative LIS journals in these two periods was analyzed by using LDA. A total of 30 topics in each period were labeled based on the frequency of terms and the contents of the articles. These topics were plotted on a two-dimensional map usingLDAvisand categorized based on their location and characteristics in the plots. Although research areas in some forms were persistent with which discovered in previous studies, they were crucial to the transition of the knowledge structure in LIS and had the following three features: (1) The Internet became the premise of research in LIS in 2015–2017. (2) Theoretical approach or empirical work can be considered as a factor in the transition of the knowledge structure in some categories. (3) The topic diversity of the five core LIS journals decreased from the 2000–2002 to 2015–2017.